Senior Machine Learning Engineer, Applied AI & Data
About The Position
GitKraken is seeking a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist to join their team. The goal is to help developers and their teams focus, create, and collaborate by minimizing distractions and wasted time. This role involves taking ideas from concept to production, determining feasibility, and shipping solutions that create measurable impact. The position requires high ownership and comfort working across data, product, and engineering, with the ability to frame ambiguous problems, explore data, build models, integrate with production systems, measure outcomes, and iterate quickly. The focus is on practical impact, traction, and speed of learning, rather than waiting for perfect specifications or over-polishing solutions before proving their value.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- Identify high-value opportunities from product, customer, and operational data
- Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping
- 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
Benefits
- Competitive compensation with annual performance-based pay increases
- Flexible Paid-Time-Off Policy & paid company holidays
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
