About the job
About Chalk
Chalk is revolutionizing the data platform that fuels the future of machine learning applications. We dismantle complexity, latency, and scalability challenges that have historically limited ML capabilities. Our platform merges Rust-speed performance with intuitive tools that developers appreciate. Leading organizations rely on Chalk for a variety of applications, including preventing fraudulent credit card transactions, identity verification, and optimizing clean energy utilization. We are proud to share that we recently secured a $50 million Series A, spearheaded by Felicis.
About the Role
As a talented software engineer, you will craft custom technical solutions and collaborate with machine learning teams to develop Chalk’s proprietary infrastructure. Your work will involve engaging with Chalk's customers to create efficient feature pipelines addressing challenges in healthcare, finance, and recommendation systems. This role offers you the unique chance to work closely with clients, gathering requirements and engineering feature pipelines that support critical use-cases such as cancer detection, fraud prevention, and product recommendation. Join us in-person as an early team member and play a pivotal role in a rapidly growing start-up.
What You Will Do
- Develop code to implement Chalk technology for customers and prospects, ensuring seamless integration and execution across diverse environments.
- Collaborate closely with our Engineering and Sales teams.
- Serve as the primary technical point of contact for customers during pre-sales and post-sales stages, including onboarding new clients and providing ongoing support.
- Advise customers on new product offerings as their business needs evolve.
- Participate in the recruitment and development of the Engineering team.
What We’re Looking For
- A technical background with experience in software development or building machine learning models.
- At least 2 years of professional backend software engineering experience.
- Proficiency in Python and SQL.
- Strong collaborative skills to work effectively with both technical and non-technical team members.
- Exceptional written and verbal communication, problem-solving, storytelling, and analytical abilities.
