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Internship Machine Learning Startup Jobs in Arizona

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Intel

AI Software Engineering Intern

Phoenix, AZ

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Internship length: 6 - 12 m Job Type:Student / Intern Shift:Shift 1 (United States of America ...

State Farm

Data Scientist

Tempe, AZ

... machine learning, and other advanced analytics methods to support the growing demand for data ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

INTEL

Packaging Module Development Engineer

Phoenix, AZ

$127K - $179K/yr

Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

ALLO Fiber

DoW SkillBridge Internship

Yuma, AZ

Commit to providing an Exceptional and Hassle-Free outcome-oriented learning organization ... machinery Ability to work in outdoor weather Possess a Valid driver's license Approved by DoW ...

Intel

WLA Yield Analysis Systems Eng

Phoenix, AZ · On-site

$98K - $193K/yr

... internship experiences and or schoolwork/classes/research. Minimum Qualifications: * Possess a ... Experience with ADC (Automated Defect Classification) and Machine Learning / AI. * Experience with ...

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All JobsInternship Machine Learning Startup JobsInternship Machine Learning Startup Jobs in Arizona

Internship Machine Learning Startup information

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

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Internship Machine Learning Startup jobs near you
Applied Data Scientist

Applied Data Scientist

Axosoft, LLC

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

The Company
GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken's seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at www.gitkraken.com or follow us on LinkedIn.
The Role
At GitKraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile.
We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data. Sometimes it will come from the business. In both cases, you'll be expected to determine what's possible, identify the fastest credible path forward, and ship solutions that create measurable impact.
This is a high-ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over-polishes a solution before proving it matters.
What You'll Do
  • 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

Our Tech Lens
We value strong fundamentals over a rigid checklist and are always open to adopting new technologies, here is a snapshot of our current ecosystem:
  • Languages: Python (for data/ML execution), alongside Go and TypeScript across our core product and backend environments.
  • Data & Infrastructure: Snowflake for data warehousing, AWS for cloud infrastructure, and Datadog for monitoring and observability.
  • AI Ecosystem & DevEx: We live and breathe developer experience. We heavily leverage and build around modern AI development tools and LLMs like Cursor, Claude Code, and Codex to accelerate execution and shape the future of workflows.

What We're Looking For
  • 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

Bonus Points
  • 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

How you'll be rewarded
Excellence - Competitive compensation with annual performance-based pay increases
Balance - Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees)
Parent life - Generous paid parental leave
Pets - Pet insurance plan (with no exclusions)
Health - Health, dental, and vision insurance with competitive employer cost-sharing
Headquarters - Modern, fully equipped offices designed to maximize productivity in a hybrid environment
Culture - Great Place to Work Certified
Growth - Paid career development opportunities, audiobook subscriptions, and mentorship
Future - 401(k) retirement plan plus company matching
Travel - Company paid domestic trip after your 1-year anniversary & an international trip every 5 years

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