Machine Learning Engineer Jobs

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

Machine Learning Engineer

The Personalization (PZN) team makes deciding what to play next on Spotify easie...

Location

United States , New York or Boston

Salary:

138250.00 - 197500.00 USD / Year

Spotify

Expiration Date

Until further notice

Requirements

An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

Job Responsibility

Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users
Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Be part of an active group of machine learning practitioners

What we offer

health insurance
six month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
13 paid flexible holidays
paid sick leave
Extensive learning opportunities, through our dedicated team, GreenHouse
Flexible share incentives letting you choose how you share in our success
Global parental leave, six months off - for all new parents

Fulltime

New

Machine Learning Engineer

Silvus is seeking a Machine Learning Engineer with a strong background in wirele...

Location

United States , Los Angeles

Salary:

120000.00 - 160000.00 USD / Year

Silvus Technologies (International)

Expiration Date

Until further notice

Requirements

M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field
Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems
1 year of machine learning experience with a PhD
Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling
Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.)
Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs)
Proficiency in MATLAB or C/C++ for signal processing algorithm development
Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire
Must be a U.S. Citizen due to clients under U.S. government contracts

Job Responsibility

Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing)
Analyze real-world RF datasets to extract insights and develop predictive models
Develop software prototypes and integrate ML algorithms with Silvus’ radio firmware and networking stack
Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models
Contribute to the design of data pipelines and infrastructure for training, testing, and validating models
Participate in performance benchmarking and iterative improvement cycles
Stay current with the latest Machine Learning research for wireless and embedded systems

Fulltime

New

Machine Learning Engineer

Join our team as a Machine Learning Engineer, shaping the future of Generative A...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Python/Go strong
AI frameworks (TensorFlow, PyTorch, or Hugging Face) strong
CI/CD strong
Experience with cloud platforms strong
English strong
Solid Back-end engineering skills
Curious about Generative AI development

Job Responsibility

Develop proof of concepts (PoC)
Test and validate new ideas
Drive implementation
Optimize and transform data solutions to improve business outcomes
Help with proposals as a technical consultant

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

New

Machine Learning Engineer

We’re looking for a Machine Learning (Ops) Engineer who is experienced in deploy...

Location

United States , Tulsa

Salary:

Not provided

SEQTEK

Expiration Date

Until further notice

Requirements

Python
Machine learning
Artificial Intelligence
Big Data
TensorFlow
AWS
Experience in deploying and managing machine learning models at scale in production
Requirement gathering specific to ML Systems
Execute best practices in version control and continuous integration / delivery
Collaborate with data scientists, data engineers and other key stakeholders

Job Responsibility

Operationalize and monitor machine learning models using high end tools and technologies
Requirement gathering specific to ML Systems
Execute best practices in version control and continuous integration / delivery
Collaborate with data scientists, data engineers and other key stakeholders
Work well in a fast-paced cross-functional environment

New

Director of Machine Learning, ML Datasets Engineering

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

400000.00 - 490000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets
Experience leading data strategies and partnerships at a senior level
Expertise in data analysis, with practical experience in examining complex datasets
Knowledge of data cost management and optimization techniques
Understanding of current developments in dataset engineering and machine learning
Experience working with external data providers and managing large data projects
Ability to connect technical concepts with business strategies
Leadership skills to guide a team of data engineers and analysts
Communication skills to explain complex data concepts to various audiences

Job Responsibility

Establish and oversee data partnerships to obtain high-quality datasets for our AI models
Develop data strategies that support Runway's product and research objectives
Analyze our data ecosystem to find gaps and areas for improvement
Work with external partners on new data projects
Keep up with advances in dataset engineering and machine learning, applying new methods to our work
Participate in hands-on data analysis, guiding the team in data exploration and interpretation
Manage data costs and implement ways to optimize data usage and storage

Fulltime

New

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville

Salary:

146000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation

Job Responsibility

Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Machine Learning Engineer

Reducto

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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Location:United States, San Francisco

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