Junior AI/ML Engineer

Latitude; Auburn Hills, Northern (MI, KY); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Health insurance

EAP

Paid time off

401(k) match

Job summary

Latitude is seeking a Junior AI/ML Engineer to help design, build, and deliver end-to-end AI/ML solutions within well-engineered software systems. You will learn the full lifecycle—from design to production handoff—through pairing, code reviews, and mentoring.

You will implement ML components, validate models under guidance, and develop familiarity with the team's AI/ML techniques as they apply to engineering, quality, and product use cases.

Qualifications

• Bachelor's degree in engineering, computer science, applied mathematics, or a related field.
• A minimum of 1 year of experience.
• Solid software engineering fundamentals.
• Exposure to machine learning through coursework, internships, or projects.
• Proficiency in Python; familiarity with common ML libraries.
• Willingness to work across data, modeling, and software concerns.

Responsibilities

• Implement ML models and components against established designs using structured, time-series, and unstructured data.
• Run and document model validation, evaluation, and error analysis under senior guidance.
• Build familiarity with the team's AI/ML techniques and how they are applied to engineering, quality, and product use cases.
• Contribute production-quality code to AI systems, including data pipelines and feature engineering.
• Model training and inference services; components of agentic solutions with LLMs.
• Write clean, maintainable, testable code (Python) and respond to code reviews.

Skills

Python programming

Software engineering

ML libraries

ML exposure

Education

Bachelor's degree in engineering, CS, applied mathematics, or related field

Job description

Role Summary

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML solutions under the guidance of senior engineers. This role is engineering-first, applying data science and machine learning as tools within well-engineered software systems.

Engineers at this level focus on well-defined implementation tasks within a larger solution, learning the full lifecycle — design, development, validation, and production handoff — through pairing, code review, and structured mentoring.

AI & ML Development

• Implement ML models and components against established designs, using structured, time-series, and unstructured data
• Run and document model validation, evaluation, and error analysis under senior guidance
• Build familiarity with the team's AI/ML techniques and how they are applied to engineering, quality, and product use cases

Software & Systems Engineering

• Contribute production-quality code to AI systems, including:
• Data pipelines and feature engineering
• Model training and inference services
• Components of agentic solutions combining LLM and other systems
• Write clean, maintainable, and testable code (primarily Python), responding constructively to code review
• Use the team's shared AI/ML components and engineering frameworks

Delivery & Execution

• Deliver well-scoped implementation tasks reliably, escalating blockers early
• Participate in requirement clarification and solution iteration with the team
• Support preparation of solutions for operationalization in partnership with MLOps teams

Growth Expectations

• Progress toward independent ownership of implementation tasks end-to-end
• Develop breadth across data, modeling, and software concerns
• Actively seek and apply feedback from senior engineers

Basic Qualifications

• Bachelor's degree in engineering, computer science, applied mathematics, or a related field
• A minimum of 1 year of experience
• Solid software engineering fundamentals
• Exposure to machine learning through coursework, internships, or projects
• Proficiency in Python; familiarity with common ML libraries
• Willingness to work across data, modeling, and software concerns

Preferred Qualifications

• Internship or project experience deploying ML in real systems
• Exposure to cloud-based data or ML platforms
• Interest in LLM-based and agentic solutions
• Familiarity with software delivery practices (version control, CI, testing)

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

EOE / Disability / Veteran