Top 10 highest paying companies that use Tensorflow

$180k to $230k plus equity

Listening.com turns research papers and textbooks into audio, so students can listen on the go. We're growing very fast, with 10,000+ subscribers from institutions like Harvard, Stanford, MIT, and UC Berkeley. We’re hiring a machine learning engineer. The role entails: * Experience with training models, implementing research papers, and coming up with novel model designs. * Deep experience with PyTorch, Tensorflow, CUDA, etc is a must. * Understanding how attention heads, convolutional networks, etc operate is important. * These experiences are a plus but not required: --- training LLMs from scratch --- Working with audio models --- Working with vision models --- Experience making models run efficiently is a plus but not required (quantization, pruning, distillation, etc) --- Experience with model hosting and deployment is also a plus but not required The role is 50% remote, 50% in person. To apply, please email derek@listening.io. Include your resume, and mention that you're in the San Francisco bay area.

$130,000 - $170,000 + Equity

Meaningful Gigs began as a marketplace for creative talent & evolved to build AI-driven creative workflows. We are on a mission to advance human creativity by eliminating mundane tasks that stifle innovation and transform the $162 billion creative market. Help us shape the future of creativity by quietly rolling out a new product, separate from our creative marketplace, which helps speed up creative tasks, think ‘Grammarly for creative workflows’. We have various AI powered features that automate repetitive creative tasks. We are an innovative and fast-moving, seed-stage startup of 16 people, (11 on Product+Engineering) prepping for our Series-A and growing quickly.

$100k-$140k / year

Evozyne is a biotech startup using machine learning to design proteins that have the potential to improve the world. We are building a software engineering team around code, creativity, and empathy. This position is focused on the development of a greenfield software platform that enables data-driven protein design. The position will be building and deploying a scalable machine learning system that interfaces with Evozyne's state-of-the-art molecular biology laboratory, accelerating our capability to train and iteratively improve our generative neural network models learned from experimental data.

EUR 75k-90k

We're an Oslo-based machine-learning based company founded in 2014 developing machine learning software to guide vaccine design for empowering personalized cancer immunotherapy, and infectious diseases. We're currently looking to grow our team.