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Machine Learning Engineer

San Francisco, CA

Why join Pave?

At Pave, our vision is simple - unlock a labor market built on trust. 

How are we going to get there? By building a compensation platform powered by the largest real-time compensation dataset on earth, we give you confidence in every compensation decision.

We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time.  And you don’t have to just hear it from us — you can hear it from our customers: Affirm, Airtable, Ancestry, Clio, Credit Karma, Dropbox, Hover, Hubspot, Grammarly, Ramp, Workato and (8,500+) more!

We're growing fast, building an incredible team and product, and having plenty of fun as we do it. We have offices in San Francisco and New York City, and are also expanding to Salt Lake City and welcoming remote team members.

If playing to win, building with intellectual honesty and focusing on the Pave platinum standard sounds like fun - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation!

Market Data Team @ Pave

As part of the data team at Pave you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave we’re bringing modern machine learning, data science, and software tooling to an industry that is built on data, but doesn’t have the tools it needs to fully leverage it.

What You'll Be Doing:

  • Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole
  • Collaborate with product and engineering teams to identify additional opportunities to leverage ML-driven solutions
  • Help evolve the technical direction of ML initiatives across the company
  • Drive millions of dollars of revenue growth

What You'll Bring:

  • 5+ years of experience building and deploying ML models in production environments
  • Strong foundation in machine learning, statistics, and deep learning fundamentals
  • Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience with large-scale data processing and ML model optimization
  • Experience with MLOps practices and tools (model versioning, monitoring, and deployment)
  • Strong software engineering practices and experience with production systems
  • Expert-level SQL skills with experience writing complex queries and optimizing query performance
  • Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100

A final note — we highly encourage you to apply for this role, even if you don’t feel entirely qualified, or entirely sure. You never know!

(This role is eligible for sponsorship)

Compensation, It's What We Do.

This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental and vision coverage, commuter benefits, catered lunch, an unlimited PTO policy, and many other region-specific benefits.

Pave's salary range for this position

$205,700 - $278,300 USD

Understand our DNA

At Pave, we embrace a relentless pursuit of excellence - we're committed to being in the top tier of our industry in everything we deliver. If you're seeking standard hours and conventional challenges, this might not align with your goals. If you're eager to push boundaries and elevate your potential beyond what you thought possible, we welcome your application

Our Compensation Philosophy

We've built our compensation framework to recognize and reward exceptional talent while fostering authentic connections with candidates who share our vision. Our approach emphasizes pay for performance, ensuring that your growth and impact are reflected in your rewards. We continuously innovate our compensation practices to maintain efficiency and fairness over time, creating alignment between candidate aspirations and company success.

FAQ’s: 

How big is Pave today? 

We were founded in late 2019, and have grown to 150 employees across the US & UK with offices located in San Francisco & New York

Where are the Pave offices? 

Our company HQ is in San Francisco's FiDi with a high energy in-person culture. We also have an office in NYC and a hub in Salt Lake City & England

What do employee benefits at Pave look like? 

As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing. To enhance your personal and professional growth, you will have a quarterly L&D stipend. We take our snacking seriously - (in-office) employees receive a lunch and dinner stipend as well as many fun snacks throughout the day.

What can I expect in interviewing at Pave? 

At Pave, we value intellectual honesty and transparency, and we bring this to our interview process. Throughout your time interviewing with us, we will be evaluating where you can best make an impact through multiple conversations with your recruiter, hiring manager, peers, cross-functional partners and leadership. We also use our interviews to determine leveling, which is finalized at the end of your interview process by your hiring manager. The majority of our roles have 3-5 interview rounds. You can expect to hear back from our team within 2 days after each interview round. Once we extend an offer, we hope to hear back from you within 3 days. It is extremely important to us that we find a great mutual fit - we’re excited to get to know you!

More Questions? Check out our candidate resources page! 

Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status. For individuals with disabilities who would like to request accommodation, please email recruiting@pave.com. Sponsorship for work visas or other permits may be available for certain positions, subject to Pave's policies and legal requirements.

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