(Senior) Software Engineer

Gradient AI Remote
senior senior software engineer software engineer ai data gradient machine learning learning software python people startup
December 4, 2022
Gradient AI
Boston, MA

About the Role:    

If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you.  We are looking for software engineers to build and improve our AI/ML claims and underwriting platforms. The ideal candidate is a life-long learner who knows Python, with strong analytical skills and an interest in Machine Learning.  

Gradient AI:    

Gradient AI is a fast-growing startup, bringing state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions to the trillion-dollar insurance industry.  Founded in 2018, we have recently raised $20M from top Insurtech investors to continue fueling our growth.  Our software-as-a-service platform provides bias-free, data-driven insights, enabling insurance companies to profitably run their business and expand their offerings to underserved people and markets.   

How you’ll make an impact:  

  • Contribute to any and all parts of our flow for developing and deploying our high-volume predictive models, including API development   

  • Utilize our tech stack that includes Python (Pandas, NumPy and PyTorch), Kubernetes, Git, Flask, Docker, SQL, and more in a Linux environment  

  • Be involved in high-level design and architecture decisions, as well as hands-on development  

  • Integrate Gradient AI’s propriety and 3rd party data and Machine Learning models into high-performance client-facing APIs and analytics. 

  • Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines 

Skills you need to exceed: 

  • 4 years of professional software engineering experience   

  • Experience with Python or similar (another OO language)

  • Experience with SQL; understanding of containerization (Docker, Kubernetes), Bash Scripting, and Git is nice to have

  • Exposure with AWS tools or similar cloud tools 

  • Familiarity with libraries such as Pandas, NumPy, and PyTorch is nice to have

  • Prior experience working with Data Science teams and productionizing machine learning models is nice to have 

 What We Offer:  

  • A fun, team-oriented startup culture.  

  • Generous stock options - we all get to own a piece of what we’re building.  

  • Unlimited vacation days.  

  • Flexible schedule that supports working from home.  

  • Full benefits package including medical, dental, vision, 401k, and more.  

  • Ample opportunities to learn and take on new responsibilities.  

We are an equal opportunity employer. 

Chosen as a top place to work and best paying company by BuiltInBoston!

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