Deep Learning Engineer
Palo Alto, CAFull-time$95–165K/yrPosted 2mo agoStill listed 3w ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near Palo Alto, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
Matroid is hiring a Deep Learning Engineer. Matroid seeks a world‑class Deep Learning Software Engineer to advance computer‑vision technology on its platform, stay current with academic research, and develop end‑to‑end deep‑learning capabilities, collaborating across product, infrastructure, and field teams in a fast‑paced, autonomous environment.
Key focus areas include Advance the computer vision and deep learning technology powering Matroid's platform, Stay current with academic CV/DL developments and apply them to real‑world use‑cases, and Engineer new DL capabilities end‑to‑end, including research, experimentation, iteration, development, optimization, and productionization.
Successful candidates bring Master's In Computer Science, Master's In Software Engineering, and Master's In Mathematics. Important skills include Anomaly Detection, Research, Machine Learning, Software Engineering, Communication, and Model Architectures. Preferred (not required): Artificial Intelligence, Object Tracking, Language Models, and Information Retrieval.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Matroid
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.
Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.
We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.
This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.
What you’ll do
-
Advance the computer vision and deep learning technology powering Matroid's computer vision platform
-
Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
-
Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize How you’ll be doing it
-
Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
-
Knowing that everything you build affects real-world users, with corresponding quality standards for your work
-
Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering What you bring to the table
-
Masters in Computer Science, Software Engineering, Mathematics, or equivalent
-
Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
-
3+ years of industry and/or academic experience relating to software, deep learning and computer vision
-
Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
-
Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
-
Strong software engineering skills - you care deeply about the quality of your code
-
Solid oral, written, presentation, collaboration, and interpersonal communication skills Bonus points if...
-
Specialization in CV, artificial intelligence, machine learning, or related fields
-
Significant computer vision & deep learning academic and/or research experience
-
Prior work experience with applied computer vision in real-world use-cases
-
Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
-
Previous work at high-growth technology startups What we offer in return
-
Competitive pay and equity.
-
The chance to constantly work on stimulating intellectual challenges.
-
Gym membership reimbursement.
-
Free lunch, healthy drinks, and snacks every day.
-
Medical, dental, and vision insurance with 100% paid premiums.
-
A flexible schedule that leaves time for all of your other interests.
-
A budget for whatever hardware or software will make you most effective.
-
Regular tech talks to discuss the latest advances in CV, DL and engineering Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Senior Deep Learning Engineer – Autonomous VehiclesNVIDIA · Santa Clara, CA · $224–357K/yrPosted 1w agoPosted 1w ago
Senior Deep Learning Engineer, Cosmo 3D SpatialNVIDIA · Santa Clara, CA · $224–357K/yrPosted 1 day agoPosted 1 day ago
Deep Learning Compiler EngineerNVIDIA · Santa Clara, CA · $152–242K/yrPosted 4w agoPosted 4w ago
Deep Learning Product Research EngineerNVIDIA · Santa Clara, CA · $136–213K/yrPosted 2 days agoPosted 2 days ago
Senior Deep Learning Software Engineer, InferenceNVIDIA · Santa Clara, CA · $184–288K/yrPosted 6 days agoPosted 6 days ago
You've read the whole posting — now see how you match it.