Design and build scalable ML services for enrichment workflows, including model training pipelines and high-performance inference APIs
Deploy and optimize models using modern inference libraries and frameworks (ONNX, vLLM, TensorRT, etc.) to achieve low-latency, high-throughput performance
Collaborate with software engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics
Build robust monitoring, observability, and evaluation systems to ensure model quality and service reliability in production
Stay current with emerging ML techniques, tools, and best practices, particularly in areas like model optimization, efficient inference, and large-scale data processing

Requirements

5+ years of experience building and deploying machine learning systems in production environments
Strong proficiency with model deployment technologies (Kubernetes, Ray, etc.) and inference libraries (ONNX, vLLM, TensorRT, or similar). Proficiency with model training frameworks (PyTorch, TensorFlow, Jax)
You've successfully designed and scaled ML services that process large volumes of data and serve predictions with strict latency and throughput requirements
Experience with the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring
Solid software engineering skills, including experience with distributed systems, APIs, and cloud infrastructure
You have a passion for building reliable, performant ML systems and understand how they create value for end users
U.S. Person status is required as this position will require the ability to access U.S only data systems.

Benefits

Health, dental, and vision insurance
Remote friendly with WeWork access
Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year
401(k) match
Lifestyle & wellbeing stipends
Salary top-up during military reserve duty
Fully paid parental leave
Child and pet care reimbursement during travel

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningmodel deploymentmodel trainingdata preprocessingfeature engineeringmodel evaluationdistributed systemsAPIscloud infrastructurelarge-scale data processing

Soft Skills

collaborationproblem-solvingcommunicationpassion for reliabilityperformance optimization