860 Av Network Engineering Ai Intern jobs in Boston,MA

5+ years' experience working as a machinist and programming NC lathes and mills
High School Diploma or GED
Ability to read and understand blueprints and technical drawings
Familiarity with geometric dimensioning and tolerance (GD&T;)
Ability to work in both metric and standard notation
Must have experience with performing quality checks with micrometers, calipers, and various gauges
Good English written and oral communication skills
Excellent organization skills; able to manage multiple priorities/projects simultaneously
Positive attitude with ability to work a fast paced, high-growth environment
Computer skills using Microsoft office
Must be able to lift 50 pounds on a regular basis
Ability to frequently kneel, squat, bend and stoop
Ability to twist, kneel and reach overhead

Uber AI-Solutions

Boston, MA 02115

Norwood, MA 02062

A Master's degree with 3 years of experience, or a PhD degree in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field.
Strong understanding of existing and emerging battery technologies, heat transfer, fluid mechanics, and combustion.
Hands-on experience with battery fire testing and associated experimental approaches in fire science.

SharkNinja

Needham, MA 02492

UVEye

Boston, MA 02108

Paid Relocation to Boston, MA

10+ years proven experience in Product Management and R&D;, with a track record of driving products from initial MVP to scaled market adoption in high-growth ecosystems.
Deep technical fluency with a hands-on approach to modern development, including: Modern IDEs & Tools: Proficient with Visual Studio Code and Cursor.
Expert-level use of LLM-based coding agents and AI-assisted development to accelerate prototyping.
AI-Native Workflows: Full-Stack Fundamentals: Strong grasp of both Backend and Frontend architecture to guide technical decision-making.
Advanced experience in product discovery workflows and UX design principles, ensuring a seamless bridge between complex technology and user-centric value.
Revenue-Driven Mindset: Demonstrated ability to translate product features and platform capabilities into measurable business impact and revenue growth.
Exceptional communication skills with the ability to navigate complex stakeholder landscapes, influencing engineers, executives, and external partners without formal authority.
A high-autonomy "owner" mindset, comfortable leading through ambiguity and taking full accountability for end-to-end outcomes.