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© All Rights Reserved. ApplyBlast.com
Accellor
Accellor is seeking an early-career AI Engineer to build, train, and optimize machine learning models using Python, TensorFlow, PyTorch, or JAX. The role focuses on deep technical implementation, debugging GPU workloads, and developing efficient training and inference pipelines for advanced AI systems. Candidates must possess strong fundamentals in deep learning, CUDA, and numerical programming to solve complex engineering challenges.
Headquarters
Fremont, California, United States
Company Size
201-500 employees
Founded
2009
Accellor is an innovative company focused on transforming enterprises through purpose-driven AI technologies. By leveraging AI, Accellor enhances business strategies, boosts operational efficiency, and enriches customer experiences with tailored solutions across various industries such as healthcare and financial services. The company prides itself on delivering enterprise-ready AI services, data solutions, and product engineering that align with the unique needs of clients, driving impactful results in the digital age. With a commitment to fostering partnerships and technological advancements, Accellor is poised to empower organizations to thrive in a competitive landscape.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Accellor.
Accellor didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role
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