About Us

We’re on a mission to crush technical debt.

We believe that a big challenge in the next decade will be crumbling digital infrastructure. Our entire modern economy runs on code, but we haven’t developed appropriate tools to ensure software remains reliable over time.

Companies know that technical debt threatens the reliability of their services and slows down the pace of innovation, but struggle to find enough engineering talent to fix issues—most software maintenance today is still done manually and delayed as long as possible.

We believe there is a better way. By combining the best of static analysis and machine learning, we are building the infrastructure for self-maintaining software. Our work involves solving challenging technical problems across program analysis, distributed systems, and machine learning.

We’re funded by top investors (Founders Fund, Abstract Ventures, 8VC) and have launched a private alpha with significant ARR.

About the role

As our first machine learning hire, you will be responsible for building our foundational ML infrastructure and experimenting with novel techniques to deliver product value through deep learning. You’ll experiment with fine-tuning existing models and building custom models to solve problems like automatic type inference, code similarity analysis, and program synthesis.

This role is ideal for tinkerers and researchers who want to see their insights transformed into real products. You will have significant ownership over our product roadmap and autonomy to design experiments from scratch.

Responsibilities

• Research potential approaches to deploy machine learning for solving concrete business problems.
• Define strategies to build ML infrastructure for model development (training, validation, tuning) and model serving.
• Transform words into product: understand concepts in research papers and revamp research code to build production-grade ML code to power magical experiences in our product.

Qualifications

• 4+ years of software engineering experience with at least 2 years of applied machine learning experience
• Execution-driven mindset: you love shipping.
• Comfortable working on low-structure environments and navigating unknown unknowns.
• Excellent communication, writing and presentation skills.

Why you should join us

• Build a meaningful product to solve a tangible problem for companies.
• Ownership in all senses of the word: significant equity upside, direct impact on product vision, and contact with users.
• Solve your own problems. We dogfood our own product and you can build the ideal developer experience as you work.
• You’ll learn new techniques on the cutting edge of research in programming languages and machine learning.
• Work with a talented team from Google and University of Illinois Urbana-Champaign.
• We’re well-funded and offer a competitive base salary up to $250k.

Location Policy

We believe that talent is widely distributed, but that the most impactful work is done through high bandwidth in-person collaboration. Candidates from anywhere in the Americas are welcome to apply, but we hope to work with you regularly in person. We’re happy to travel to you, or can sponsor you to join us in NYC or San Francisco either permanently or temporarily.

Relocation is not required—don’t let your location stop you from applying.

Job Type: Full-time

Pay: Up to $250,000.00 per year

Schedule:

• Day shift
• Monday to Friday
• Self-determined schedule
• Weekend availability

Experience:

• Software Engineering: 4 years (Required)
• Machine Learning: 2 years (Required)

Work Location: Remote

Please Note :
bankofmontserrat.ms is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, bankofmontserrat.ms provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, Site.com is the ideal place to find your next job.