We Are Machine Learning Pioneers on a Mission
Machine learning should only be limited by a data scientist’s creativity, not the tools of the trade. To solve this problem, we created novel algorithms that enable convolutional neural networks (CNNs) to run on commodity CPUs… at GPU speeds.
Founded by a team from MIT CSAIL, we are unlocking the power of CPUs to deliver state-of-the-art ML performance. Our machine learning engine enables ML applications to be run in new places, on new kinds of workloads.
More than a company, we are a community defined by our many backgrounds and our one goal – to expand what’s possible with machine learning.
- Team lunch
- Daily stand up
- Open door office policy
- Open vacation policy
- Paid holidays
- Paid sick days
- Health, dental, vision, FSA
- Commuter benefits
- 401k matching
- Diversity manifesto
- Casual dress
- Happy hours
Software Engineer in Test
We are looking for a Software Engineer in Test to work closely with our Development, Machine Learning and Product teams to test and validate our cutting-edge Machine Learning Engine and its integration in a high-performance multicore CPU environments. You will be responsible for designing and implementing functional, accuracy and performance testing of the product and involved in the end-to-end testing from backend to frontend.
We are looking for senior engineers excited to work with machine learning, parallel and concurrent algorithms, interested in working closely with the founding team and who want to contribute to solving challenging, high performance computing problems.
Customer Facing Deep Learning Solutions Engineer
As a Deep Learning Solutions Engineer at Neural Magic, you will be at the center of delivering technical value to our customers. Working as part of our sales team, you will be responsible for managing the technical aspects of the sales cycle, delivering solutions that align customer’s needs with our technology. Qualified candidates will use their engineering and customer engagement skills to lead technical evaluations, create developer-focused content, build deployment tests, run benchmarks, and deliver dynamic demos that spark the imagination of potential customers. You’ll engage with customers in both pre and post sales capacities to scope solutions, assist with implementations, and address obstacles that might hinder success. This role is hands-on and requires a combination of technical know-how, a solutions mindset, and the ability to adapt to changing customer conditions. We are seeking an individual excited to work with state-of-the-art deep learning models and help customers scale their deep learning applications in production. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning, this is the role for you.
Machine Learning Engineer
We are seeking a machine learning engineer excited to work with state-of-the-art models and cutting-edge research, as well as with parallel and concurrent algorithms. This person will work closely with our technical team, bringing deep learning product requirements to our engineers and putting machine learning research into practice within our software. If you are a machine learning engineer who wants to contribute to solving challenging technical problems at the forefront of machine learning, this is the role for you.