About the role
structured by ORIAt Momentic, we’re building the future of quality. We’re building the all-in-one quality platform powered by state of the art agents to help our customers ensure quality at every stage of the SDLC.
What you will do
- Solve hard problems that have both product and technical ambiguity
- Focus time on building, being productive, and shipping code
- Project manage your own work with autonomy
What they are looking for
- Experience with LLM performance tuning, including prompt engineering and context management strategies
- Experience with LLM evaluations and observability
- Experience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)
- Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten
- Familiarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments
- 3+ years of experience
Nice to have
- Experience with supervised or reinforced fine-tuning
- Experience with classical machine learning techniques such as template matching, bounding box detection, and OCR
- Experience running statistical experiments
Before you apply
- Located in-person San Francisco (650 5th St.)
- We can't sponsor/transfer H1B Visas or Green Cards (I-140) at this time.
Benefits
- Competitive Medical, Vision, Dental insurance
- 401K
- Unlimited PTO
- Offsites and events (Lake Tahoe this year!)
- Fully stocked kitchen
Full posting text
At Momentic, we’re building the future of quality.
We’re building the all-in-one quality platform powered by state of the art agents to help our customers ensure quality at every stage of the SDLC.
Top engineering teams at companies like Notion, Retool and Webflow use Momentic to ship high quality product. Millions of Momentic tests are executed every single day.
Our product has a very large problem space so there’s a ton of stuff to build and take ownership of - we’d be excited to get your help as we're hiring several extremely talented software engineers across the stack.
The product
- The AI-native automated testing platform
- Incredibly sticky. Our customers run us on every pull request and merge and before each deploy as quality gates
- Leagues ahead of the status quo today (think Selenium/Cypress/Playwright)
- Check out the demo video on our website https://momentic.ai/.
About us
- We’re a lean team of 17 (ex Robinhood, Retool, WeWork, Qualtrics, Assembled)
- Located in-person San Francisco (650 5th St.)
- Recent Series A raise of $15M led by Standard Capital, with participation from existing investors - Y Combinator, FCVC, and Transpose Platform.
You’re perfect for this role if…
- You enjoy solving hard problems that have both product and technical ambiguity
- You have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great at
- You dislike meetings and would much rather focus your time on building, being productive, and shipping code
- You thrive when you have autonomy, own as many of the details as possible, and project manage your own work
- You're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all love
Must-have qualifications
- Experience with LLM performance tuning, including prompt engineering and context management strategies
- Experience with LLM evaluations and observability
- Experience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)
- Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten
- Familiarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments
- 3+ years of experience
Nice to have
- Experience with supervised or reinforced fine-tuning
- Experience with classical machine learning techniques such as template matching, bounding box detection, and OCR
- Experience running statistical experiments
Our stack
React, TypeScript, Next.js, Node.js, PostgreSQL, Google Cloud, Kubernetes
Benefits
- Competitive Medical, Vision, Dental insurance
- 401K
- Unlimited PTO
- Offsites and events (Lake Tahoe this year!)
- Fully stocked kitchen
Sponsorship
We can't sponsor H1B Visas or Green Cards (I-140) at this time.