Iterative is hiring a
Software ML Product Engineer in Worldwide

Summary

The job is for an engineer role at iterative.ai, focusing on improving the workflow of their tool DVC. The role requires hands-on experience in deep learning, communication skills, and software engineering skills. The company offers remote work, flexible hours, unlimited PTO, open-source opportunities, competitive compensation, great health coverage (US only), benefits (401K with match in US, reimbursements worldwide), and participation in conventions and conferences.

Requirements

• Hands on experience in deep learning
• Passion about improving ML teams best practices, performance
• Communication skills - energy, ability to summarize and explain next steps
• Software engineering skills, ability to learn quick and do the first steps to unblock the team

Responsibilities

As an engineer, you would be working closely with technical product managers. You will be helping define the workflow since we expect that you have taste and experience using MLOps tools and / or organizing ML infra for your team

Benefits

• Work wherever you want - No offices. Team is distributed remotely worldwide
• Work whenever you want - Asynchronous communication and engineering culture. We are light on meetings and emphasize people finding their own schedule to be prolific & effective.. Oh yeah, also Unlimited PTO and sick days
• Open-source your code - We’re an open-source-first company (frankly, it’s in our DNA). Your work will be visible and will be used by thousands of developers every day! Check out our Discord and GitHub
• Competitive compensation - based on the work you do here and not your previous salary
• Great health coverage (medical, dental, vision) for you and your family, 100% paid by us (US only, but can discuss and reimburse, adjust the salary in other locations)
• Benefits - 401K with 100% match up to 4% of annual salary (US only, but we give the best we can worldwide through reimbursements and hiring platforms)
• Participate in conventions and conferences. (PyCon, PyData, O'Reilly AI, etc) - We encourage and support everyone in giving talks, writing blog-posts, and other activities