CrawlJobs Logo
CVS Health Logo CVS Health · IT - Software Development

Staff Machine Learning Engineer

United States, Work at Home Employment contract 106605.00 - 260590.00 USD / Year · Job Posted July 13, 2026
Apply Position
Job Link Share

Job Description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Job Responsibility

  • Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing
  • Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives
  • Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability
  • Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis
  • Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions
  • Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry
  • Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency
  • Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development
  • Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications
  • Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP Vertex AI capabilities (models, tuning, pipelines, vector search, guardrails, evaluation)
  • Build cloud-native AI systems using Serverless architectures (AWS Lambda, Step Functions, EventBridge
  • Cloud Functions, Cloud Run), Event-driven architectures (SNS/SQS, Pub/Sub, EventBridge, triggers), Microservices and APIs (Node.js, Java, Python)
  • Architect agentic AI systems using Bedrock Agents, Vertex AI Agent Builder, or approved frameworks (LangGraph, LangChain, LlamaIndex Agents)
  • Deliver multi-step reasoning, tool-use, and workflow orchestration for enterprise use cases
  • Comfortable designing and developing AI Agents using Copilot Studio and Cloud flow (Power Automate)
  • Develop robust Retrieval-Augmented Generation (RAG) systems using Bedrock Knowledge Bases, Vertex AI Vector Search, or custom vector databases (OpenSearch, Pinecone, FAISS, pgvector)
  • Design document ingestion, embedding, chunking, grounding, and retrieval pipelines that integrate securely with enterprise data
  • Lead model experimentation, fine-tuning, evaluation, deployment, and monitoring across cloud platforms
  • Optimize cost, performance, token usage, latency, and scaling for production workloads
  • Ensure all solutions meet CVS Health's Responsible AI standards, including model documentation, governance, risk assessment, and auditability
  • Design systems that adhere to HIPAA, data privacy, and security requirements
  • Partner with product, engineering, data, security, and compliance teams to shape roadmaps and solution direction
  • Mentor engineers and contribute reusable patterns, frameworks, and platform accelerators

Requirements

  • 8+ years in large-scale software development
  • 5+ years solution architecture or system design experience
  • 5+ years building large-scale microservices/APIs using Node.js
  • 3+ years hands-on experience with GCP and AWS (serverless, event-driven, AI/ML, CI/CD)
  • AWS Bedrock (any combination of models, agents, knowledge bases, guardrails, tuning, evaluation) or GCP Vertex AI (Model Garden, Extensions/Agents, Vector Search, Pipelines, Tuning) or similar technologies
  • Strong communication and leadership skills
  • Strong experience with Python for AI/ML engineering
  • Production experience with Agentic AI frameworks
  • Production experience with RAG architectures and vector databases
  • Production experience with Serverless and event-driven designs
  • Bachelor's Degree in Computer Science or a related field, or equivalent experience

Nice to have

  • Experience with Vertex AI's Generative AI Studio, vector search orchestration, and agent capabilities
  • Hands-on experience with vector databases (OpenSearch, Pinecone, FAISS, pgvector, Milvus)
  • Strong knowledge of prompt engineering, evaluation, observability, and LLM security patterns
  • Ability to write clear design docs, architectural diagrams, runbooks, and technical briefs
  • Agile/SAFe experience in large enterprises
  • Cloud certifications (AWS/GCP) preferred

What we offer

  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program
CVS Health - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Staff Machine Learning Engineer

8 matching positions

Staff Machine Learning Engineer

Applied AI is a horizontal AI team at Uber partnering with product and platform ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of industry experience in machine learning or software engineering, with a proven record of delivering ML solutions to production
  • Strong knowledge of machine learning, deep learning, and exposure to generative AI techniques (e.g., transformers, LLMs, diffusion)
  • Experience designing and scaling ML systems or platforms, including training pipelines, serving infrastructure, and model lifecycle tooling
  • Fluency in ML frameworks (e.g., PyTorch, TensorFlow, JAX) and development in Python and/or scalable backend languages (e.g., Java, Go)
  • Excellent collaboration and communication skills with the ability to work across teams and functions
Job Responsibility
Job Responsibility
  • Design and implement ML-driven systems that power core Uber experiences, with a focus on scalability, reliability, and performance
  • Lead the technical execution of key projects involving classical ML, deep learning, and generative AI technologies (e.g., LLMs, multimodal models)
  • Collaborate closely with product, data science, and infrastructure teams to develop AI solutions from ideation through production deployment
  • Contribute to and influence the technical direction for Applied AI, particularly around system design, model architecture, and infrastructure decisions
  • Champion engineering best practices in ML development — including experimentation workflows, model versioning, evaluation, monitoring, and responsible AI
  • Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

The Marketplace Signals team at Uber is responsible for building and optimizing ...
Location
Location
United States , San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
  • 6+ years of industry experience in machine learning, including building and deploying ML models at scale
  • Experience in modern deep learning architectures and probabilistic modeling
  • Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
  • Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git
  • Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
  • Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.
Job Responsibility
Job Responsibility
  • Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts)
  • Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized
  • Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases
  • Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals
  • Ensure consistency and reliability across Uber's platform by maintaining high-quality marketplace signals that inform rider and driver experiences
  • Reduce technical debt by streamlining signal infrastructure and minimizing redundant computations
  • Work with real-time streaming data and large-scale distributed systems to ensure Uber's signals are up-to-date and responsive to market dynamics.
What we offer
What we offer
  • Bonus program
  • Equity award
  • 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

We are looking for a Staff Machine Learning Engineer to join the Eats Search Ran...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
  • 9+ years of experience in developing and deploying machine learning models and algorithms in production environments
  • Deep understanding of machine learning algorithms and ranking / recommendation systems, and strong system design skills
Job Responsibility
Job Responsibility
  • Lead the team in design, development, and deployment of state-of-the-art machine learning models and algorithms to solve business problems and improve product performance
  • Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions
  • Set long term technical direction for one of the key investment areas in the team (e.g., query understanding, retrieval, ranking), and uphold high engineering and ML quality bar
  • Mentor and grow ML engineers in the team
  • Identify new business opportunities to solve problems with the right technologies, and stay up-to-date with the latest advancements in machine learning techniques and technologies
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Uber Marketplace is at the core of Uber's business, and Marketplace Matching is ...
Location
Location
United States , San Francisco
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD or equivalent in Computer Science, Engineering, Mathematics or related field
  • Programming language (e.g. C, C++, Java, Python, or Go)
  • 5+ years of proven experience in the industry
  • Large-scale training using data structures and algorithms
  • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
  • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
Job Responsibility
Job Responsibility
  • Build elastic, scalable, and fault-tolerant distributed machine learning libraries and systems used to power machine learning development productivity across Uber
  • Work closely with engineers in the broader Uber ML/AI Platform Team (Michelangelo) to improve the broader ML Platform ecosystem for our users
  • Work closely with Uber's ML community (with ML Engineers, Data Scientists, and Researchers) to scope and build new abstractions for scalable machine learning
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Uber Marketplace is at the heart of Uber’s business, with Rider Pricing & Incent...
Location
Location
United States , San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience
  • Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
  • Experience with machine learning and optimization algorithms
Job Responsibility
Job Responsibility
  • Lead a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs
  • Improve the performance of models and algorithms powering pricing algorithms and promotion targeting
  • Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap
  • Mentor more junior team members by role modeling ML best practices
  • Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth
  • Help Uber’s end-users by making mobility options accessible and affordable
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

The Consumer Incentives team is responsible for the profitability and growth tra...
Location
Location
United States , New York; San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master (or equivalent in Computer Science, Engineering, Mathematics or related field) with 6+ years of full-time ML engineering experience
  • Expertise in deep learning and optimization algorithms
  • Experience with ML frameworks such as PyTorch and TensorFlow
  • Experience building and productionizing innovative end-to-end Machine Learning systems
  • Proficiency in one or more coding languages such as Python, Java, Go, or C++
  • Strong communication skills and can work effectively with cross-functional partners
Job Responsibility
Job Responsibility
  • Identifying strategic technical investments to push the efficiency frontier and boost business growth
  • Leading teams to design and implement ML/optimization solutions to meet ambitious business goals
  • Managing end-to-end project execution, from scoping and offline evaluation to experimentation, production, and post-launch operation
  • Collaborating with cross-functional teams, including product, operations, and science partners
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Orbital uses AI to build data center hardware that outperforms the competition. ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
orbitalindustries.com Logo
Orbital
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience in ML/AI research or engineering
  • OR a relevant PhD + 2 years of professional experience in ML/AI research or engineering
  • Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
  • Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
  • A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
  • An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
  • A genuine interest in building AI systems that enable breakthrough scientific and industrial applications
Job Responsibility
Job Responsibility
  • Set the technical bar and ensure engineering excellence
  • Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
  • Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
  • Drive technical decisions on model selection, training approaches and deployment strategies
  • Deliver high-impact AI projects across diverse domains
  • Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
  • Rapidly upskill in new technical areas through close collaboration with domain experts
  • Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
  • Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
  • Push the frontier of ML research
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Playlab seeks a Staff Machine Learning Engineer to join our growing Engineering ...
Location
Location
Salary
Salary:
190000.00 - 250000.00 USD / Year
playlab.ai Logo
Playlab
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years building and deploying ML systems in production, with recent experience in generative AI and LLMs
  • Strong understanding of ML fundamentals, model fine-tuning, and evaluation methodologies
  • Experience building production AI systems - you understand latency, cost optimization, and evaluation challenges
  • Proficient in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.)
  • Thrive in high-agency, high collaboration cultures
  • Great communication that makes working remote-first work
Job Responsibility
Job Responsibility
  • Research, prototype, and implement ML systems that enable educators to build safe, effective AI applications - working with both LLMs and traditional ML models as appropriate
  • Stay on top of emerging AI research and technologies - evaluate what's relevant for education and integrate what works
  • Work cross-functionally with engineering, product, and educators to ensure ML systems solve real educational needs
  • Balance experimentation with production excellence - explore cutting-edge techniques while ensuring reliability, performance, and cost-effectiveness at scale
  • Contribute to our open-source ML infrastructure and help establish evaluation standards for educational AI
  • Mentor engineers on ML systems design and implementation through pairing and reviews
  • Fulltime
Read More
Arrow Right