Senior ML Engineer designing and developing machine learning models for national security. Collaborating with cross - functional teams to deliver scalable solutions in defense applications.
About the role
- Machine Learning Platform Engineer for Coinbase, building foundational components for ML at scale. Collaborating on fraud combat, personalizing user experiences, and blockchain analysis.
Responsibilities
- Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
- Advance our high-availability and low-latency ML inference infrastructure that runs both predictive ML models and LLMs.
- Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data.
- Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data.
- Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.
Requirements
- 2+ yrs of industry experience as a Software Engineer.
- You have a strong understanding of distributed systems.
- You write high quality code and have excellent communication skills.
- You’ve designed, built, scaled and maintained production services.
- You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
- Nice to haves:
- Experience building ML models and working with ML systems.
- Experience working on a platform team, and building developer tooling.
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer developing and deploying ML planning algorithms for autonomous trucks. Join Plus, a leader in AI - based virtual driver software for autonomous trucking.
Intern for Servo Engineering at Seagate, integrating AI/ML into precision servo design. Collaborating on research and optimization of control algorithms for hard disk systems.
Intern role focused on Machine Learning and Generative AI projects for Seagate's innovative data solutions. Contributing to precision - engineered storage initiatives in Singapore.
Senior ML Platform Engineer at GEICO focusing on building scalable machine learning infrastructure and managing AI applications. Responsible for design, implementation, and mentoring within the ML team.
Senior Staff Machine Learning Engineer developing and integrating ML systems for GEICO’s Claims organization. Collaborating on AI - powered capabilities to enhance decision - making and user experience.
Principal Machine Learning Engineer optimizing video recommendation systems for Snap. Collaborating with cross - functional teams to advance machine learning strategies and improve tech stack.
Machine Learning Engineering Manager at Snap Inc. leading engineering teams to develop models for value creation. Responsible for technical evaluations, product scalability, and engineering excellence.
Intern working on servo controller design and AI technologies for hard disk drives. Collaborating on projects involving cutting - edge control systems and presenting findings to engineering teams.
Senior/Principal Machine Learning Engineer designing ML systems for Workday’s AI agents. Overseeing full lifecycle from problem framing to deployment while collaborating with cross - functional teams.