Senior Software Engineer (ML Services)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (ML Services): Designing and scaling AI-powered applications and ML services for computable document infrastructure with an accent on agentic coding practices and high-throughput services. Focus on building production-grade agentic systems, optimizing ML service latency, and implementing distributed cloud-native architectures.
Location: On-site in Mountain View, CA (daily office attendance required)
Salary: $190,000–$220,000 per year
Company
is an AI-native company transforming unstructured data into structured, auditable data to make the world's documents computable.
What you will do
- Establish patterns for spec-driven development, context engineering, and multi-agent orchestration to compound team output.
- Design and maintain AI-powered services focusing on high availability, performance, and reliability.
- Build low-latency, high-throughput ML services optimized for cost efficiency.
- Collaborate with ML Engineers to move capabilities from R&D prototypes to scalable production stacks.
- Lead cross-functional initiatives and mentor engineers to elevate the team's technical bar.
- Enhance the internal ML platform, facilitate data sourcing, and enable observability for deployed services.
Requirements
- 5+ years of experience in software development with a strong backend and ML engineering background.
- Fluency with agentic coding tools (Claude Code, Codex, or equivalent), including managing repo context and verifying agent output.
- Experience with cloud-native technologies (Docker, Kubernetes) and platforms (AWS, GCP, or Azure).
- Proven track record of building and operating ML systems at scale in production.
- Strong software architecture skills for designing distributed systems and cloud-based applications.
- Must be based in or work on-site at the Mountain View HQ on a daily basis.
Nice to have
- Experience with ML frameworks like PyTorch.
- Experience serving ML models and LLMs using frameworks like vLLM.
- Experience building intuitive APIs for developer-facing products.
Culture & Benefits
- Equity grants to share in the company's success.
- Comprehensive medical, dental, and vision healthcare for employees and dependents.
- Wellness stipend for fitness programs and self-care.
- Education stipend for lifelong learning and professional growth.
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