Machine Learning Engineer

What you'll do

• 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

What we look for

• 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

What we offer

Competitive Salary The salary range for this position is $150,000 - $215,000 + equity. Within the range, individual pay is determined by experience, relevant education, and/or training.

Comprehensive 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