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Oscar

VP of Engineering

Oscar, San Francisco de Oconi (historical), Florida, United States

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This range is provided by Oscar. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$181,000.00/yr - $250,000.00/yr Job Title:

VP of Engineering Location:

Remote (U.S. Time Zones Preferred) Compensation:

$250,000 base salary + equity Company Stage:

Series C Startup We're looking for a

VP of Engineering

to lead our technical team at the forefront of machine learning innovation. This is a high-impact leadership role for someone who thrives in fast-moving environments, is deeply technical, and is excited to build systems, teams, and strategy from the ground up.

What You'll Do

Job Title:

VP of Engineering Location:

Remote (U.S. Time Zones Preferred) Compensation:

$250,000 base salary + equity Company Stage:

Series C Startup

We're looking for a

VP of Engineering

to lead our technical team at the forefront of machine learning innovation. This is a high-impact leadership role for someone who thrives in fast-moving environments, is deeply technical, and is excited to build systems, teams, and strategy from the ground up.

What You'll Do

Define and scale the engineering org structure, hiring plan, and career development frameworks

Own and drive technical strategy, system architecture, and long-term scalability of our ML platform

Lead by example-you'll be hands-on when needed, and always available as a mentor and technical guide

Champion engineering excellence in coding standards, model reliability, testing, and observability

Establish robust MLOps practices-from CI/CD pipelines to real-time model monitoring and governance

Collaborate cross-functionally with product, research, and business leadership to align technical decisions with company goals

Foster a high-performing, inclusive, and async-first engineering culture

Our Tech Stack

Languages:

Python (LangChain, PyTorch, TensorFlow, FastAPI), TypeScript

LLM & AI Tools:

LangGraph, LlamaIndex, Transformers, OpenCV, HuggingFace, scikit-learn

Infra & MLOps:

AWS, GCP, Kubernetes, Docker, Terraform, CI/CD (GitHub Actions, Argo)

Databases:

PostgreSQL, Redis, Neo4j

Monitoring & Observability:

Prometheus, Grafana, Weights & Biases, Sentry

What We're Looking For

8+ years of experience in engineering, with at least 3+ years in a leadership capacity (Director/VP level)

Proven track record of building and scaling ML infrastructure and engineering teams (10+ engineers ideally)

Hands-on experience deploying ML/AI systems at scale, with strong Python and system design expertise

Familiarity with LLMs, agentic AI, RAG pipelines, and MLOps tooling

Experience in venture-backed startups or other high-growth, fast-paced environments

Excellent communication and collaboration skills across technical and non-technical team.

Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

Seniority level

Seniority level Executive Employment type

Employment type Full-time Job function

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