J

ML Developer Experience Engineer

Jobgether • United States
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Jobgether is seeking a ML Developer Experience Engineer to design and build developer-focused tools, SDKs, and APIs that simplify reinforcement learning workflows. The ideal candidate will have strong experience building developer-facing tools and a solid understanding of machine learning workflows. This is a hands-on, systems-level role for someone passionate about developer experience and modern ML infrastructure.

Key Highlights
Design and build developer-focused tools, SDKs, and APIs
Simplify reinforcement learning workflows for ML engineers and developers
Collaborate with cross-functional teams to identify workflow bottlenecks and design scalable technical solutions
Key Responsibilities
Design and build developer-focused tools, SDKs, and APIs
Create intuitive abstractions that balance ease of use with flexibility for advanced configuration and experimentation
Collaborate with product, engineering, and customer success teams to identify workflow bottlenecks and design scalable technical solutions
Technical Skills Required
Python Machine Learning Reinforcement Learning SDKs APIs Libraries Frameworks PyTorch JAX
Benefits & Perks
Competitive compensation
Comprehensive health coverage
Retirement or pension contribution plans
Unlimited PTO
Mental health, wellness, and personal development stipends
Flexible hybrid or remote work arrangements
Visa sponsorship support
Relocation package provided
Nice to Have
Contributions to open-source projects or internal developer platforms
Familiarity with ML infrastructure, distributed systems, or frameworks

Job Description

This is a high-impact engineering role focused on shaping how machine learning and reinforcement learning systems are built, evaluated, and deployed at scale. You will design developer-centric tools, SDKs, and workflows that abstract away the complexity of RL, making advanced ML capabilities accessible to engineering teams and enterprise customers. The role sits at the intersection of machine learning infrastructure, product engineering, and developer experience, with direct influence on how customers adopt and scale production-grade AI systems. You will work closely with product, engineering, and technical success teams to identify friction points and translate them into scalable, reusable platform capabilities. Your work will directly enable faster adoption of RL workflows across organizations while improving reliability, usability, and performance. This is a hands-on, systems-level role for someone passionate about developer experience and modern ML infrastructure.
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