About Chalk:

Instead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users – the experience we’ve always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI.

Chalk's infrastructure is not just about powering decisions; it's about empowering developers. We deeply understand the pain points and workflows that make machine learning challenging, and Chalk was built to ease that pain.

About the role

Be an early member of our brand new New York City office. Reporting to the CTO, 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.

What you will do

• Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments
• Work closely with our Engineering and Sales teams
• Act as the 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, working as a data scientist, 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, storytelling, and analytical skills
• Experience working closely with sales teams and customers is a plus.

Bonus points

• Previous experience working with ML/data products or services
• Understanding of Machine Learning Ops/Infrastructure
• Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning

Benefits:

⚕️Comprehensive medical, dental, and vision insurance

🏦 Flexible Spending Account (FSA), Health Savings Account (HSA

🦮 Expert Healthcare Guidance

💵 Retirement savings

🎄15 company holidays each year

🏖️15 days of personal time off each year

🚌 Flex Commuter Benefits

🌮 Daily lunch and the Chalk

🥤Office is fully-stocked with drinks and snacks to fuel your work day. 🍽️ Staying late? Dinner is on us

🚖 Staying even later? Grab an Uber / Lyft home on Chalk

Compensation

Range: $120K - $220K

Actual compensation awarded to successful candidates will be based on several factors, including 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.

The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation.

Inclusivity

Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.