Pear VCPV

ML Product Engineer (Junior)

Pear VC is a pre-seed and seed-stage venture capital firm that partners with entrepreneurs from their earliest days to build category-defining companies. They focus on providing hands-on support in areas like product-market fit, recruiting, and go-to-market strategy.

Pear VC

Employee count: 51-200

Salary: 160k-200k USD

United States only

About Tanagram:

Tanagram's mission is to enable developers to work at the speed of thought. To do that, we're building a tool that captures hard-won lessons buried in codebases, code reviews, incident post-mortems, and Slack chats. We turn those lessons into real-time guardrails that flag or fix risky patterns the moment they reach a pull request — and, eventually, at code generation time — so that engineers can ship faster and avoid disaster.

Imagine an ideal staff engineer. They know the entire codebase and how different systems interact. They follow every PR, so they know what changes are being made and how patterns evolve. They've read all the documentation. They keep up-to-date on Slack conversations. Ultimately, they index all that information in their heads, and deliver impact by showing up everywhere and saying the right things at the right time.

We're building that, but at scale for entire teams and companies. Tanagram is an extension of every team's best staff engineer, available anywhere and anytime.

About This Role:

As an ML Product Engineer, you'll leverage the latest ML tools and techniques to enable product functionality, including:

  • Analyzing enterprise-scale codebases for implicit dependencies.

  • Implementing recommendation systems for finding code that's similar to a given pattern.

  • Extracting patterns from code reviews and documentation.

This role is exploratory — we have a good sense of what success looks like, but we don't yet know how to get there. You should have a good intuition for the right tools to use and how to configure, combine, and tweak them to deliver the best results for our users.

We’re a small team of generalists and work across multiple domains. We're looking for meticulous, high-agency people who have good judgment around what problems to solve, the skills (or learning ability) to solve it expediently, and an understanding of the appropriate quality bar given the surrounding business context.

We will generally work in-person in San Francisco (our office is in Mission Bay), but are open to remote for the right candidate.

Responsibilities:

  • Research & apply ML algorithms: clustering techniques, similarity search, entity recognition, etc.

  • Build knowledge graphs from multiple data sources.

  • Use reasoning models like Qwen2.5-7B-Instruct to refine queries based on existing knowledge.

  • Help build with the best tools in an AI stack: LLM-Evals, Guardrails for AI, CodeAct (agents writing code to fulfill goals), memory for agents (like Mem0).

What We Offer:

  • Challenging work on enterprise-scale codebases and datasets.

  • Top-of-market compensation (and a long runway).

  • Employee-friendly equity terms (low FMV, early exercise, extended exercise).

  • Your choice of Macbook Pro + computer/office equipment stipend.

  • Food stipend/reimbursements on meals.

  • Health, dental, and vision insurance.

  • Unlimited PTO.

  • A relatively un-chaotic working environment (we aren't pivoting every week).

  • An opportunity to lead and define our company.

Qualifications:

  • Experience working with high-volume data in vector databases.

  • Experience with ML/NLP techniques on production projects.

  • Self-direction and output-oriented: you repeatedly, independently seek out the most valuable thing you could be doing, to achieve scalable results, quickly. You do so even when requirements and priorities may be changing rapidly.

  • Bonus points:

    • Experience building knowledge graphs and working with graph databases.

    • If you've previously worked at a startup, or founded one yourself.

Compensation:

Depending on the relevance and amount of your experience:

  • Salary for this position ranges from $160,000 to $200,000 USD

  • Equity ranges from 0.5% to 1.5%.

If we move forward with an offer, you will have a choice between more cash or more equity.

About the job

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Posted on

Job type

Full Time

Experience level

Entry-level

Salary

Salary: 160k-200k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Pear VC

Learn more about Pear VC and their company culture.

View company profile

At the heart of Pear VC is a culture deeply rooted in the founder's journey. We began as Pejman Mar Ventures in 2013, founded by Pejman Nozad and Mar Hershenson, with a singular mission: to build a venture capital firm that genuinely and actively supports founders. Pejman, an angel investor, saw the immense potential in creating a firm where founder support was paramount. He partnered with Mar, and together they laid the foundation for what would become Pear VC three years later. The name 'Pear' itself is symbolic of our philosophy – pear trees are known for their longevity and strength, yet they require nurturing and the right conditions to flourish, much like startups. Our founders themselves embody resilience and diverse experiences. Pejman immigrated to the U.S. from Iran with very little and carved a unique path into venture capital, initially investing while working as a rug dealer. Mar, originally from Barcelona, brings a wealth of technical and operational expertise, holding a PhD in Electrical Engineering from Stanford and having founded three companies herself.

Our core values emphasize a hands-on, empathetic approach. We understand that building something from nothing is an arduous journey, often marked by setbacks. Having navigated these challenges ourselves through founding over ten companies, our team is uniquely positioned to empathize with and guide entrepreneurs. We are not just investors; we are company builders. Our commitment extends beyond capital; we roll up our sleeves to help founders find product-market fit, craft go-to-market strategies, recruit crucial early hires, and navigate the complexities of fundraising. We pride ourselves on being there for our founders through thick and thin, offering support when challenges arise, be it an elusive product-market fit, a missed target, or team changes. We believe in 'active patience,' fostering an environment where learning and long-term vision take precedence over short-term pressures. This philosophy has enabled us to partner with exceptional founders from the earliest stages, often pre-seed and seed, to build category-defining companies. Our community is a cornerstone of our approach, exemplified by Pear Studio, a collaborative workspace designed to foster innovation and connection among entrepreneurs. We are dedicated to identifying and nurturing exceptional talent, helping them transform great ideas into iconic, long-lasting companies.

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Pear VC hiring ML Product Engineer (Junior) • Remote (Work from Home) | Himalayas