Chalk is hiring a Forward Deployed Engineer to work with customers building efficient feature pipelines for machine learning applications in healthcare, finance, and recommendation systems.
Responsibilities
- ▹Write code to implement Chalk technology for customers and prospects
- ▹Become familiar with Chalk infrastructure and find the best way to integrate it in different environments
- ▹Work closely with the Engineering and Sales teams
- ▹Act as the primary technical point of contact pre-sales and post-sales (onboarding or supporting an existing customer)
- ▹Recommend new products to customers as their business evolves
- ▹Help interview and grow the Engineering team
Requirements
- ▹Technical background including experience writing software or building ML models
- ▹4+ years of professional backend software engineering experience
- ▹Proficient in Python and SQL
- ▹Ability to collaborate effectively with technical and non-technical individuals
- ▹Excellent written and verbal communication, problem-solving, storytelling, and analytical skills
- ▹Bachelor's degree in Computer Science or equivalent
Nice to have
- ▹Experience working closely with sales teams and customers
- ▹Previous experience with ML/data products or services
- ▹Understanding of Machine Learning Ops/Infrastructure
- ▹Previous experience as a forward-deployed engineer in a high-growth, ML-focused startup
Soft skills
Effective collaboration with technical and non-technical teamsExcellent communication and storytellingAnalytical problem-solving
What we offer
- ▹Comprehensive medical, dental, and vision insurance for you and your family
- ▹Flexible Spending Account (FSA), Health Savings Account (HSA)
- ▹Flex commuter benefits
- ▹Expert healthcare guidance
- ▹Retirement savings
- ▹15 days of PTO and 14 company holidays each year
- ▹Paid parental leave
- ▹Daily lunch and dinner
- ▹Office stocked with drinks and snacks
- ▹Uber/Lyft home when staying late
- ▹Team building events and happy hours
About the company
Chalk is building the data platform that powers the future of machine learning applications, used to stop fraudulent credit card swipes, verify identities, and maximize clean energy capture. They've recently raised a $50 million Series A led by Felicis.
Education: Számítástechnika BSc vagy ezzel egyenértékű
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