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NEXTMOVEFDE careers · United States

Forward Deployed Engineer

AI summary of the role

Builds and integrates Chalk feature pipelines for customer ML teams in healthcare, finance, and recommendations.

What you’ll do

  • Write code to implement Chalk technology for customers and prospects.
  • Act as primary technical contact pre- and post-sales.
  • Work closely with Engineering and Sales teams.

What you’ll bring

  • 2+ years professional backend software engineering experience
  • Proficient in Python, SQL
  • Bachelor's degree in Computer Science or equivalent

Technologies

Python · SQL · feature pipelines · ML infrastructure · backend engineering

About Chalk

Compute-first feature platform for AI and ML teams that defines features once, serves them in real time, and keeps training and inference consistent.

Series A · 50–100 people

Source and classification

Production engineering · Evidence for this classification:

About Chalk Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis. About the role You are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity
More from the job description

About Chalk Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis. About the role You are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up. We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role. What you will do Write code to implement Chalk technology for Chalk customers a [... source excerpt omitted ...] in different environments Work closely with our Engineering and Sales teams Act as the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one) Recommend new products to customers as their business evolves Help interview and grow the Engineering team What we’re looking for Technical background including experience writing software or building ML models 2+ years experience of professional backend software engineering experience Proficient in Python, SQL Ability to collaborate effectively in teams of technical and non-technical individuals Excellent written and verbal communication, problem-solving, [... source excerpt omitted ...] efits. Actual compensation awarded to successful candidates will be based on several factors, including but not limited to: market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk’s growth and us achieving our goals.

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