Machine Learning Engineer (Computer Vision)
: Job Details :

Overview

Machine Learning Engineer (Computer Vision) – Palo Alto, CA – Engineering – Hybrid – Full-time

Instrumental builds an AI-powered platform that helps hardware teams catch and fix issues early. Our team is ~70 people, mission-driven, and values inclusivity and impact. We're looking for an employee who shares these values and is excited to own meaningful ML work.

About The Role

We're looking for a customer-focused ML Engineer to help build and scale our end-to-end ML pipeline. You'll balance research and productization in a fast-paced, collaborative environment.

At Instrumental, ML engineers don't just develop models — they drive real impact. You'll own the full lifecycle of machine learning projects: shaping features with product, exploring research, building and refining datasets, running rapid experiments, deploying at scale, and monitoring live performance. You'll work in a deeply collaborative environment where your ideas directly shape the product and deliver measurable value to world-class hardware teams.

What You7ll Do

• Own ML pipelines end-to-end—from prototyping to deployment to measuring customer impact
• Focus relentlessly on delivering customer value
• Collaborate across R&D to deliver full-scope solutions, not just ML components
• Rapidly prototype and prioritize algorithms based on user needs
• Build and scale ML systems using state-of-the-art techniques
• Lead efforts to acquire and manage high-quality datasets

What You7ll Need To Be Successful

• Experience in writing production code with a focus on maintainability and performance.
• Experience training deep learning models, including expertise in model selection, training, optimization, and deployment.
• You have startup DNA: a growth mindset, a bias toward action, and a drive to take ownership of challenging projects with minimal guidance. You7re resourceful—when you hit a wall, you find a way around it, learn what you need, and keep moving forward.
• Computer vision expertise (or a strong foundation in deep learning from other domains, such as NLP). If you don7t have direct computer vision experience, a willingness to apply your deep learning knowledge to this area is important.
• Nice to have: Experience with cloud infrastructure, such as AWS, GCP, or Azure, and familiarity with scaling machine learning models in a cloud-based environment.

Culture and Benefits

We7re a growing team that works collaboratively, is supportive of each other, and is highly energized by the opportunity for a large impact. We actively promote an inclusive environment, valuing passion and the ability to learn. You7re encouraged to apply even if your experience doesn7t precisely match the job description!

The following is a representative annual base salary range for this position within the Bay Area: $168,000 - $186,000. Salary is evaluated through our interview process based on experience, knowledge, skills, and abilities.

Instrumental offers a range of benefits, including health, vision, dental, commuter plans, and parental leave.

How to Apply

Ready to apply? The application collects: First name, Last name, Email, LinkedIn URL, Phone number, Location, Resume, and Cover letter. Standard questions include work authorization and visa sponsorship status, plus prompts about training a deep learning model and problem-solving examples.

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