Senior Machine Learning Engineer, Applied AI & Data

🕒 June 11

🌵 Arizona – Remote

🌵 Arizona – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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GitKraken

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤝 B2B

Software Development • SaaS • B2B

GitKraken is a leading provider of developer tools designed to enhance collaboration, productivity, and efficiency for coding teams. The company offers a comprehensive DevEx platform that includes GitKraken Desktop, GitLens for VS Code, GitKraken CLI, and GitKraken Browser Extension, among others. These tools simplify complex Git processes, enabling developers to visualize complex data, manage multiple repositories, and improve team collaboration. GitKraken's offerings are tailored for both individual developers and enterprise-level teams, focusing on security, privacy, and control. With powerful integrations to platforms like GitHub, GitLab, Bitbucket, and Azure, GitKraken aims to provide a seamless developer experience, enabling teams to work efficiently regardless of location.

📋 Description

• 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

🎯 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

🏖️ 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