Deep Learning EngineerMatroid • Palo Alto, California, United States
Deep Learning Engineer
Matroid • Palo Alto, California, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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 Masters in Computer Science, Software Engineering, Mathematics, or equivalent Passion for computer vision and deep learning; you are excited to adapt the latest VLMs, 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 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 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
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
What you bring to the table
Bonus points if...
What we offer in return
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.
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Engineer Deep Learning • Palo Alto, California, United States
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