[Remote] Senior Machine Learning Engineer, Applied AI & Data
Note: The job is a remote job and is open to candidates in USA. GitKraken is the developer experience platform of choice for over 40 million developers globally. They are seeking a Senior Machine Learning Engineer to take ideas from concept to production, focusing on identifying high-value opportunities and executing end-to-end data solutions.
Responsibilities
- Identify high-value opportunities from product, customer, and operational data
- Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping
- Identify high-value opportunities from product, customer, and operational data
- Build practical 80/20 solutions that create leverage quickly, then refine them based on traction
- Own end-to-end execution across data exploration, modeling, experimentation, backend integration, and productization
- Partner with engineering, product, design, and leadership to turn rough ideas into shipped capabilities
- Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one is not needed
- Define success metrics, instrument outcomes, and improve solutions based on real-world usage
- Help shape how GitKraken uses AI and data to improve developer workflows, team velocity, and product experience
Skills
- Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a Senior level
- A track record of shipping data or ML-powered capabilities into real products or operational workflows
- Comfort moving from messy problem statements to practical execution without a lot of structure
- Ability to work across the stack, not just in notebooks
- Strong product judgment and a bias toward simple solutions that deliver measurable value
- Experience deciding whether a problem is best solved with ML, rules, analytics, automation, or workflow design
- Ability to balance speed and rigor, including knowing when 'good enough to learn' is the right answer
- Strong communication skills and the ability to explain tradeoffs clearly to technical and non-technical partners
- Ownership mindset: you don't wait for perfect specs, and you follow through from idea to impact
- You've built and shipped data or ML-powered features, not just analyses
- You can prototype quickly and are comfortable refining after launch
- You know how to avoid getting buried in edge cases before the core value is proven
- You like working in a company with a bias toward action, accountability, and high ownership
- You want your work to directly influence product direction and business outcomes
Benefits
- Competitive compensation with annual performance-based pay increases
- Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees)
- Generous paid parental leave
- Pet insurance plan (with no exclusions)
- Health, dental, and vision insurance with competitive employer cost-sharing
- Modern, fully equipped offices designed to maximize productivity in a hybrid environment
- Great Place to Work Certified
- Paid career development opportunities, audiobook subscriptions, and mentorship
- 401(k) retirement plan plus company matching
- Company paid domestic trip after your 1-year anniversary & an international trip every 5 years
Company Overview