Re:Build Manufacturing
AI

AI/ML Engineer

Re:Build Manufacturing · Boston, MA

Actively hiring Posted 6 months ago

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America’s next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We’ve assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we’re leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

About Cadonix

Cadonix is the undisputed global leader in cloud-delivered ECAD tools for full end-to-end design, simulation, manufacture and management of wire harness designs and costing. Created from the ground up for the new age of collaborative online working, the Arcadia suite runs in the web browser and offers unprecedented flexibility in terms of use, licensing, systems integration and supply chain collaboration. Harness manufacturers, Tier 1 suppliers and OEMs are enjoying the benefits of Arcadia today.

Who we are looking for

We are looking for a talented and motivated AI/ML Engineer to be a core builder of our initial AI solutions. Your first responsibility will be to develop prototypes and proof-of-concepts for our highest-impact use cases, such as creating a basic component recommender or a simple step-optimization algorithm. As these solutions mature, you will be responsible for building them into robust, scalable, and production-ready AI models. You will work closely with the AI Architect to bring the technical vision to life and lay the groundwork for our future AI-powered products.

What you get to do

  • Design, develop, and implement AI/ML models and algorithms for prototypes and production systems.
  • Analyze and preprocess large datasets for model training and validation.
  • Conduct experiments to test and optimize AI models for performance and accuracy.
  • Collaborate with the AI Architect, product and engineering teams to integrate AI solutions into our products.
  • Write clean, maintainable, and well-documented code.
  • Troubleshoot and debug AI applications to resolve technical issues.

What you bring to the Team

  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience in AI and machine learning model development.
  • Strong programming skills in Python.
  • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with data manipulation and scientific computing libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Solid understanding of statistical analysis and machine learning algorithms.
  • Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

The BIG payoff

We are a company who is going to make a difference in the industries and the communities in which we choose to operate.

Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or you may call us at 617.909.6275.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Engineer Machine Learning Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.