Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether...

Location

United States , Mountain View

Salary:

240000.00 - 385000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience
5+ years of combined experience in software development (Python, C++) and applied ML engineering
Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning
Strong foundation in data structures, algorithms, and neural network architectures
Proficiency with ML frameworks such as PyTorch

Job Responsibility

Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities
Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints
Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalize interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximize accuracy
Develop specialized AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime