Senior Software Engineer - ML Services

Key Responsibilities

• Be a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output.
• Design, develop, and maintain AI-powered applications and services, focusing on high availability, performance, and reliability.
• Work closely with Machine Learning Engineers, building AI capabilities from early R&D prototyping to scalable operation in multiple production stacks.
• Build ML services designed for low-latency or high-throughput, and optimized for high cost efficiency.
• Lead cross-functional initiatives, collaborating with Machine Learning Engineers, Product Managers, and other teams to align technical solutions with business needs.
• Drive innovation by making strategic technical decisions, setting best practices, and mentoring engineers to elevate the team’s technical bar.
• Improve ML development process by enhancing the internal ML platform, facilitating data sourcing, and enabling ML observability for deployed services.

Required Skills

• Fluency with agentic coding tools (Claude Code, Codex or equivalent).
• Experience writing effective specs, managing repo context, and reviewing/verifying agent output.
• 5+ years of experience in software development, with a strong backend and ML engineering background.
• Experience working with cloud native technologies (Docker, Kubernetes).
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Experience with building ML systems, from early prototype, to operating at scale in production.
• Strong software architecture skills, with experience designing and scaling distributed systems and cloud-based applications.
• Experience mentoring engineers and contributing to team-wide technical direction.
• Strong communication skills, with the ability to translate technical challenges into business impact.

Nice to Have

• Experience with ML frameworks like pytorch.
• Experience with serving ML models and LLMs using frameworks like vllm.
• Experience with developer-facing products and building intuitive APIs.

Pay

$190,000 - $220,000 a year

Benefits

• Stock Awards – We want you to share in our success with equity grants.
• Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.
• Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.
• Lifelong Learning – An education stipend to help you grow and keep learning.