Machine Learning Engineer Jobs

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Robotics Machine Learning Engineer

In this role you will close the loop between human instruction and robot automat...

Location

United States , Watertown

Salary:

90000.00 - 190000.00 USD / Year

Tutor Intelligence

Expiration Date

Until further notice

Requirements

Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
Strong software skills
Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations
General robotics knowledge & experience

Job Responsibility

Train, fine tune, and deploy visual and language foundation models across our stack
Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential

What we offer

generous equity
fully covered health + dental
unlimited PTO

Fulltime

New

Senior Machine Learning Engineer

Join Truveta’s Intelligence Platform and Applications team to engineer the next ...

Location

United States , Seattle

Salary:

165000.00 - 190000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment
Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A
Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL
Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines
Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP)
B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field

Job Responsibility

Design and reason with agentic AI frameworks
Bring a deep understanding of LLM fundamentals
Work fluently with embeddings and vector stores
Excel at model fine-tuning
Think and build like engineers
Collaborate across boundaries
Demonstrate senior-level ownership
Understand evaluation deeply
Adapt and learn continuously
Act with purpose

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)

Fulltime

New

Machine Learning Engineer - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

155000.00 - 175000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering or machine learning (3+ years with a PhD)
Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma)
Deep expertise in NLP, sequence modeling, and transformer architectures
Proficient in Python and ML libraries such as PyTorch or TensorFlow
strong engineering skills in building scalable ML pipelines
Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems
Proven ability to lead technical projects and collaborate across teams
Bachelor's degree in Computer Science, Engineering, or a related technical field

Job Responsibility

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains
apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG)
Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes
Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration)
Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts
Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

New

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...

Location

United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver

Salary:

210000.00 - 260000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

8+ years of professional experience in machine learning engineering or data science roles
Proven track record of designing and implementing ML systems at consumer tech scale and speed
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
Understanding of ML methods at a fundamental level
Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
Technical leader who can identify both emergent technical opportunities and gaps relative to best practice

Job Responsibility

Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
Design, implement, and maintain robust evaluation frameworks
Develop novel new product experiences
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
Provide technical mentorship

What we offer

Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Bonus

Fulltime

New

Senior Machine Learning Engineer

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasone...

Location

United States , New York; San Francisco

Salary:

148000.00 - 200000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field
3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems
Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP
Solid software engineering skills with proficiency in one or more programming languages, including Python
Experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
Proficiency in SQL is also required for writing complex queries and transforming data
Experience building REST API-based services
Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes
Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences
A passion for quickly learning new technologies and a drive to solve challenging problems

Job Responsibility

Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery
End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring
Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes
Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation
Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle

What we offer

Taskrabbit is a Hybrid Company
The People
The Diverse Culture
Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees
We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more

Fulltime

New

Senior Machine Learning Engineer

Start.io, a leading mobile marketing and audience platform, empowers the app eco...

Location

Salary:

Not provided

Start.io

Expiration Date

Until further notice

Requirements

B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline
5+ years of experience building high-performance backend or ML inference systems
Deep expertise in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML)
Experience with scalable service architecture, message queues (Kafka, Pub/Sub), and async processing
Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring
Experience in cloud environments (AWS, GCP, or OCI) and container orchestration (Kubernetes)
Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services
Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and best practices for alerting and diagnostics
A strong sense of ownership and the ability to drive solutions end-to-end
Passion for performance, clean architecture, and impactful systems

Job Responsibility

Own and lead the design and development of low-latency Algo inference services handling billions of requests per day
Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs
Collaborate closely with DS to deploy models seamlessly and reliably in production
Design systems for model versioning, shadowing, and A/B testing at runtime
Ensure high availability, scalability, and observability of production systems
Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques
Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business

What we offer

Lead the mission-critical inference engine that drives our core product
Join a high-caliber Algo group solving real-time, large-scale, high-stakes problems
Work on systems where every millisecond matters, and every decision drives real value
Enjoy a fast-paced, collaborative, and empowered culture with full ownership of your domain

New