Machine Learning Engineer – (ML / NLP)

About the Role

We are seeking exceptional ML/NLP engineers to join a fast-growing AI startup tackling fundamental problems in LLM-based code generation, document understanding, context synthesis, and intelligent agents. The ideal candidate will bring a strong background in machine learning or NLP from research or industry experience, coupled with the drive to push innovation forward.

This role is open to a wide range of candidates—from strong new graduates to engineers with up to 10 years of experience—with a sweet spot of 4–6 years.

What You’ll Do

• Build workflows and agentic pipelines for complex analytical workloads.
• Design evaluation frameworks and carry out evaluations of a query processing engine.
• Work closely with customers and founders to shape the product and engineering roadmap.
• Contribute to defining engineering culture and the company’s evolving tech stack.
• Collaborate with a team of experts from top tech companies and leading research backgrounds.

What We’re Looking For

• Strong analytical skills and proven ability to tackle challenging NLP problems.
• Background in search/retrieval, LLMs, and evaluation pipelines (a plus).
• Experience in startup or fast-paced environments (highly desirable).
• Bachelor’s or Master’s degree in Computer Science or a related field.
• A strong signal of excellence (e.g., top academic program, significant ML/NLP experience).
• 0–10 years of experience as an ML engineer (open to standout new grads).

Compensation & Benefits

• Salary: $150K – $300K
• Equity: included in the overall compensation package
• Visa sponsorship: available for exceptional candidates
• Work policy: On-site role based in San Mateo

Tech Stack

• Core: Python, PyTorch (or other ML frameworks)
• LLM Frameworks: LangChain, Haystack
• Cloud Platforms: GCP, AWS

Interview Process

1. Culture Fit (30 minutes)
2. ML Technical Screen (30 minutes)
3. Onsite (3–4 hours)