Jobs — Data Scientists

Senior AI/ML Engineer - Future Sensing, Embodied AI

General Motors · Olympia, WA

Senior Bachelor's

2026-06-04

WA 2026-06-04

Preferred

Experience withperceptionsensors including cameras, radar, and lida
Experience with multi-modal sensor fusion and system integration
Experience with production ML pipelines, model optimization, and performance tuning
Experience with simulation, synthetic data, or scenario-based evaluation
Experience with architecting sensory systems or contributing to sensor placement and configuration studies
Experience deploying ML models into production or working within production ML environments
Experience in automotive, robotics, or safety-critical ML applications.
*Remote/Hybrid: This role is categorized as fully remote or hybrid.

Responsibilities

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous driving performance. You will contribute to designing and improving ML and perception models that support safe and reliable vehicle behavior across real-world scenarios, while helping connect sensing choices to measurable performance outcomes.
You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to engineering best practices, technical analyses, and delivery execution.
*What You'll Do
Develop and improve AI/ML solutions aligned with GM's autonomous driving and future sensing objectives
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling and selection, and foundation modeling to solve problems in object detection, tracking, classification,perception, and safe AI
Develop and evaluateperceptionmodels and components for sensing studies involving cameras, lidar, radar, and multi-modal sensor fusion
Implement and evaluate models, incorporating research advancements into practical applications
Contribute to model training, fine-tuning, validation, debugging, and performance optimization forperceptionand sensor-fusion tasks
Help define and implement robust metrics for detection, reconstruction, localization support, semantic labeling, and model robustness under varied environmental conditions
Work with real and synthetic data to evaluate sensing tradeoffs across weather, lighting, occlusion, sensor noise, clutter, and near-field versus long-range scenarios
Contribute to production pipelines and technical workflows spanning data loading, model evaluation, error analysis, and deployment-oriented support
Collaborate with cross-functional teams to integrate models and algorithms into onboard driving systems and future sensing evaluation workflows
Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
*Your Skills & Abilities
Bachelor's orMaster's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
Experience applying machine learning techniques to real-world systems or large-scale datasets
Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains
ProficiencyinPyTorchand Python
Experience working with model training pipelines or large-scale data processing workflows
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
Experience with model validation, debugging, and failure analysis in ML orperceptionsettings
Experience with one or moreperceptiondomains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion
Ability to collaborate effectively within cross-functional engineering teams.

View full posting on CareerOneStop → ID: a94913349ea5

Senior Machine Learning Engineer, Machine Learning Platform Technologies

Apple · Seattle, WA

Senior Bachelor's

2026-06-02

WA 2026-06-02

Requirements

Bachelor's degree or higher in Computer Science or related technical field.
5 year+ industry experience in distributed system and ML Modeling (Search, Recommendation, NLP, Ads, Statistics).
Experience with high throughput services particularly at supercomputing scale.
Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
Proficient in building and maintaining systems written in modern languages (eg: Golang, Rust, Python)

Preferred

Familiar with GenAI Applications and popular agentic framework like Langchain and Langgraph
Familiar with embedding model and llm serving like Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
Familiar with very large scale serving system

Responsibilities

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
At Apple, imagination and ambition come together to shape what's next. Every product we build, every service we design, and every experience we deliver is born from collaboration-making each other's ideas stronger and more impactful. We believe in thinking differently, challenging the status quo, and pushing the boundaries of technology and intelligence to create products that bring joy and change lives for the better. Our strength comes from the diversity of our people and perspectives, and when everyone is included, we do the best work of our lives. If you're bold, curious, and passionate about building best-in-class technology, Apple is the place to not just join something-but to add something.
As part of this group, you will develop GenAI search and recommendation application end to end and partner with a lot of engineering teams across Apple.
The Partner Adoption team, part of the Machine Learning Platform Technologies organization, is the backbone of onboarding applications to Apple's world-class search and recommendation platform. In this role, you'll work end-to-end on feature and product design across a broad range of Apple services-including Apple Music, TV+, App Store, Books, Games, Podcasts, Siri, and more. As a key member of the team, you'll design and build large-scale server-side functionality while also exploring and delivering cutting-edge GenAI applications and features powered by large language models. You'll partner closely with product, platform, and design teams to bring innovations to life-reaching millions, and even billions, of users worldwide with the reliability and excellence Apple is known for.

View full posting on CareerOneStop → ID: 5016dea3e918

Senior AI/ML Engineer

Eliassen Group · Boise, ID

Senior Bachelor's

2026-05-29

ID 2026-05-29

Requirements

10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
Strong Python skills with TensorFlow and PyTorch.
Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
Experience with image transformer models for document image understanding, including Microsoft DiT.
Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
Integration of transformers into OCR pipelines and collaboration with OCR technologies.
OpenCV-based image processing for document analysis.
CI/CD with Terraform, GitLab, and GitLab Runner.
Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
Familiarity with AI coding tools such as Claude and Codex.
Strong problem solving and communication skills with ability to work independently.
AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education

BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
Additional experience does not substitute for the education requirement.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
Design and develop predictive models using regression, classification, clustering, and neural networks.
Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
Identify and resolve performance bottlenecks and security vulnerabilities.
Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

View full posting on CareerOneStop → ID: fcb795557c82

Senior AI/ML Engineer

Eliassen Group · Olympia, WA

Senior Bachelor's

2026-05-29

WA 2026-05-29

Requirements

10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
Strong Python skills with TensorFlow and PyTorch.
Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
Experience with image transformer models for document image understanding, including Microsoft DiT.
Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
Integration of transformers into OCR pipelines and collaboration with OCR technologies.
OpenCV-based image processing for document analysis.
CI/CD with Terraform, GitLab, and GitLab Runner.
Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
Familiarity with AI coding tools such as Claude and Codex.
Strong problem solving and communication skills with ability to work independently.
AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education

BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
Additional experience does not substitute for the education requirement.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
Design and develop predictive models using regression, classification, clustering, and neural networks.
Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
Identify and resolve performance bottlenecks and security vulnerabilities.
Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

View full posting on CareerOneStop → ID: 8f083dedf38a

Senior AI/ML Engineer

Eliassen Group · Salem, OR

Senior Bachelor's

2026-05-29

OR 2026-05-29

Requirements

10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
Strong Python skills with TensorFlow and PyTorch.
Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
Experience with image transformer models for document image understanding, including Microsoft DiT.
Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
Integration of transformers into OCR pipelines and collaboration with OCR technologies.
OpenCV-based image processing for document analysis.
CI/CD with Terraform, GitLab, and GitLab Runner.
Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
Familiarity with AI coding tools such as Claude and Codex.
Strong problem solving and communication skills with ability to work independently.
AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education

BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
Additional experience does not substitute for the education requirement.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
Design and develop predictive models using regression, classification, clustering, and neural networks.
Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
Identify and resolve performance bottlenecks and security vulnerabilities.
Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

View full posting on CareerOneStop → ID: d5fd6d64d416

Senior AI/ML Engineer

Eliassen Group · Helena, MT

Senior Bachelor's

2026-05-29

MT 2026-05-29

Requirements

10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
Strong Python skills with TensorFlow and PyTorch.
Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
Experience with image transformer models for document image understanding, including Microsoft DiT.
Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
Integration of transformers into OCR pipelines and collaboration with OCR technologies.
OpenCV-based image processing for document analysis.
CI/CD with Terraform, GitLab, and GitLab Runner.
Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
Familiarity with AI coding tools such as Claude and Codex.
Strong problem solving and communication skills with ability to work independently.
AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education

BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
Additional experience does not substitute for the education requirement.
*_Recruitment Transparency Notice_
*_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

Responsibilities

Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
Design and develop predictive models using regression, classification, clustering, and neural networks.
Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
Identify and resolve performance bottlenecks and security vulnerabilities.
Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

View full posting on CareerOneStop → ID: 6ea19695b6ae

Data Scientist -Project Delivery Senior Analyst - AI & Engineering

Deloitte · Boise, ID

Senior Bachelor's

2026-05-23

ID 2026-05-23

Requirements

4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
4+ years of experience with feature engineering, model development, validation, and deployment.
4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Analytical/ Decision Making Responsibilities
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000

Responsibilities

The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

View full posting on CareerOneStop → ID: 4fa3856975f3

Senior Consultant - Data Science / Data Lake

Deloitte · Seattle, WA

Senior Bachelor's

2026-05-22

WA 2026-05-22

Requirements

3+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
2+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
2+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred

Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
Experience parsing and normalizing cyber or information technology telemetry datasets
Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
Experience with Apache Kafka, Storm, or Spark
Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

View full posting on CareerOneStop → ID: 05bde5bca4e7

Sr Data Scientist, WWSO Bedrock

Amazon · Seattle, WA

Senior Bachelor's

2026-05-19

WA 2026-05-19

Requirements

5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
5+ years of management of technical, enterprise customer facing resources or equivalent experience
7+ years design/implementation/consulting experience of distributed applications
5+ years of hands-on experience with AI/ML or related technology domain
3+ years of hands-on experience with Responsible AI

Preferred

2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
Experience with presentations and speaking with executives, IT, management, and developers
BS degree in computer science or equivalent, or 4+ years of technical work experience
History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises
Track record of thought leadership and innovation around Responsible AI.

Responsibilities

Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and explore new solutions. You will interact closely with our customers and with the academic community.
Thought Leadership - Evangelize AWS features relating to Responsible AI and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.

View full posting on CareerOneStop → ID: 6848b7bbe5b6

Data Scientist, Senior

Booz Allen Hamilton INC. · Port Orchard, WA

Senior Bachelor's

2026-05-14

WA 2026-05-14

Job Number: R0239360 Data Scientist, Senior The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an i

View full posting on CareerOneStop → ID: d593361ab7a0

Sr. Data Scientist, Prime Video

Amazon · Seattle, WA

Senior Bachelor's

2026-05-09

WA 2026-05-09

Requirements

5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist experience
Bachelor's degree
Experience with statistical models e.g. multinomial logistic regression

Preferred

2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team

Responsibilities

Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases
Partner with product stakeholders and science peers to identify strategic data-driven opportunities to improve the customer experience
Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization

View full posting on CareerOneStop → ID: 9a7848aa2859

Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs

Amazon · Seattle, WA

Senior Bachelor's

2026-05-02

WA 2026-05-02

Requirements

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience as a mentor, tech lead or leading an engineering team

Preferred

Bachelor's degree in computer science or equivalent

View full posting on CareerOneStop → ID: fd03c0af5ae0

Principal Product Mgr Tech, Measurement Ad Tech Data Science (MADS)

Amazon · Seattle, WA

Senior Bachelor's

2026-05-01

WA 2026-05-01

Requirements

2+ years of end to end product delivery experience
8+ years of technical product or program management experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product
Experience technical product management

Preferred

Experience working directly with Engineers on product enhancements
Experience in project management methodologies, business analysis, or process improvement

View full posting on CareerOneStop → ID: 49c1e394e701

Senior Machine Learning Engineer, Search & Knowledge Platforms

Apple · Seattle, WA

Senior Bachelor's

2026-04-30

WA 2026-04-30

Requirements

Bachelor's in Computer Science, Machine Learning, or a related field
7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Strong programming skills in C/C++ or Python, and experience with ML frameworks
Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
Excellent communication and collaboration skills

Preferred

Advance degree in Computer Science, Machine Learning, or a related field
5 years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc.
Experience working with transformer-based models (e.g., BERT, T5) in a search context
Prior industry experience on large scale search systems
Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems

Responsibilities

Are you passionate about search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance features across Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of the most dynamic high-performance computing environments, managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer, you play a critical role in developing world-class search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models.
As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills.

View full posting on CareerOneStop → ID: 574995d5efb4

Senior Data Scientist

The Boeing Company · Seattle, WA

Senior Bachelor's

2026-04-28

WA 2026-04-28

Requirements

Ability to obtain a US Security Clearance for which the US Government requires US Citizenship
Bachelor's degree or highe
5+ years of experience with AI/ML technologies, frameworks, models and ensembles
5+ years with container and container orchestration (Docker and Kubernetes)
5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses
5+ years of experience with software programming/scripting (such as Python, Unix/Linux type batch scripting, FORTRAN, C / C++)
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required.
"U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
*Export Control Details:
US based job, US Person required

Preferred

5+ years of experience in the manufacturing or aviation domain
5+ years of experience with big data technologies and data engineering practices
Experience in multi-cloud and hybrid AI architecture
Experience with generative AI, NLP, computer vision, or reinforcement learning
Experience with CI/CD pipelines, DevOps practices and containerized deployments
Experience with open-source ML projects or publications in relevant fields

Responsibilities

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a Senior Data Scientist to join the Boeing Test & Evaluation (BT&E) Business Operations team in Berkeley, MO or Seattle, WA .
The candidate will lead cross-functional teams to define, build, validate, and deploy advanced predictive and prescriptive analytics solutions that drive measurable business outcomes. This senior individual contributor / technical leader will evaluate business objectives, translate stakeholder needs into analytic requirements, choose appropriate methods and algorithms, perform data preparation and feature engineering, and operationalize models into production systems. The role requires strong domain/business acumen, excellent communication and leadership skills, hands-on modeling experience, and proven success deploying production-grade analytics.
Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization's business goals and objectives
Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
Partner with product managers, engineers, and business stakeholders to define problem statements, success metrics, and deployment requirements
Collaborate with data engineers, data architect, software developers, and DevOps teams to integrate ML models into production systems
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership, and cross-team updates

View full posting on CareerOneStop → ID: 2ec6a541e9db

Senior Data Scientist - 3031819

Apex Systems, Inc. · Redmond, WA

Senior Bachelor's

2026-04-25

WA 2026-04-25

Requirements

Bachelor's degree in a technical field such as computer science, computer engineering or related field required
8-10 years applicable experience required
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions

Responsibilities

This is a Marketing Data Science role. Marketing analytics experience required.
Measure what actually drives Minecraft player acquisition, reactivation, and long-term value across marketing channels. This role will own campaign post-mortems, attribution modeling, and marketing funnel analysis --- connecting upstream spend and impressions to downstream engagement and monetization outcomes. You will partner with Growth Marketing and Finance to inform budget decisions and build the measurement frameworks that scale Minecraft's marketing effectiveness. The ideal candidate blends analytical rigor with marketing intuition and can translate complex attribution results into clear recommendations for non-technical stakeholders.
Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
Design, implement, automate and maintain large scale enterprise data ETL processes
Modify existing databases and database management systems and/or direct programmers and analysts to make changes
Test programs or databases, correct errors and make necessary modifications

View full posting on CareerOneStop → ID: 7fa0fd0c44ec

Senior Data Scientist - 3031820

Apex Systems, Inc. · Redmond, WA

Senior Bachelor's

2026-04-25

WA 2026-04-25

Requirements

Bachelor's degree in a technical field such as computer science, computer engineering or related field required
8-10 years applicable experience required
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions

Responsibilities

Apex is looking for a Data Scientist for a hybrid position 3 days a week in Redmond, WA. This is a chance to work directly with Minecraft Marketplace and Minecraft Realms teams on improving content plans, monetization strategies, recommendation, and discovery. This role is analytics heavy.
Key projects: This role will contribute to digital monetization, downloadable content, and expanding user generated content offerings. They will support expanding the Marketplace to better compete in the user-generated content space, making this an especially interesting role for candidates familiar with platform s like Roblox or Fortnite.
*Ideal Background for Candidate
Strong in business analytics and data science focused on post sale monetization of digital experiences.
The ideal resume would contain experience in digital subscription based or streaming services (e.g., Netflix, Spotify)
This is a Minecraft Monetization data scientist role.
Apply advanced analytics, experimentation, and predictive modeling to optimize monetization across Minecraft's three revenue pillars: Realms subscriptions, Marketplace content sales, and Creator on Demand. This role will build LTV models, analyze cross-product spend behavior, design and read out A/B tests on pricing and UX changes, and surface insights that drive revenue growth while protecting player experience. The ideal candidate has strong statistical foundations, fluency in Python and SQL on Databricks, and experience modeling user spending behavior in games or subscription products.
Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
Design, implement, automate and maintain large scale enterprise data ETL processes
Modify existing databases and database management systems and/or direct programmers and analysts to make changes
Test programs or databases, correct errors and make necessary modifications

View full posting on CareerOneStop → ID: 0c5b3752de46