Senior Machine Learning Engineer at Neural Magic

| Somerville
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Neural Magic is an early stage deep learning software company pioneering a new way for organizations to use deep neural networks without requiring specialized hardware accelerators.

We are seeking an experienced 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.

Founded by an award-winning team of professors and students out of MIT, Neural Magic is a venture-backed company headquartered in Davis Square, Somerville, MA.

What you’ll do

  • Design, build, evaluate, ship, and refine Neural Magic’s machine learning product including libraries, demos, and notebooks
  • Prototype and iterate on state of the art research against proprietary, in-house software
  • Work closely with customers to understand specific needs, implementation details, and successful deployment using Neural Magic’s engine
  • Collaborate with a cross functional team about market requirements, best practices and how machine learning is deployed in the wild
  • Be a trusted advisor and partner, providing deep analysis of deep learning approaches, helping to define and conduct pilot tests


What you’ll need:

  • Several years of experience working with Machine Learning in industry. Master’s or PhD degree in ML, computer science or math preferred.
  • Solid knowledge of machine learning and deep learning fundamentals, in particular MLPs, Recommendation Systems, and CNNs
  • Full stack experience of taking deep learning models from conception to production: writing, training, testing, and deploying models
  • Proficient with Python and one or more deep learning frameworks such as Pytorch, Tensorflow, Caffe, MXNet, Keras, etc
  • Experience working with large data pipelines for analyzing and training
  • Self-directed individual who learns quickly and is comfortable operating in a blank slate environment
  • Excellent communication skills, ability to tailor technical information for different audiences
  • Strong sense of project ownership and personal responsibility

Visit our careers page to learn more about the perks of working at Neural Magic.

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Technology we use

  • Engineering
  • Product
    • C++Languages
    • PythonLanguages
    • CaffeFrameworks
    • TensorFlowFrameworks
    • PyTorchFrameworks
    • Google AnalyticsAnalytics
    • ConfluenceManagement
    • JIRAManagement


We are in the heart of Davis Square, Somerville - across the street from Redbones, above the bFresh grocery store.

An Insider's view of Neural Magic

What is your vision for the company?

Data science teams are severely limited by inadequate AI computing resources. They want fast platforms that support big models, big data, and big precision. And these resources must be widely available.

With our software, data science teams can use ubiquitous CPUs resources to achieve performance breakthroughs without specialized hardware.

Bryan House

Chief Commercial Officer

How does your team reward individual success?

Each week in our all-hands, we recognize team members with our "Clutch Moments" award. The phrase originated at an axe throwing event we did this fall. We use to celebrate when our team members go above and beyond in their contributions.

Gaurav Rao

Head of Product

What are Neural Magic Perks + Benefits

Eat lunch together
Daily stand up
Open door policy
Diversity manifesto
Mean gender pay gap below 10%
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Acme employees can contribute up to $5000 annually to their FSA.
Dental Benefits
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Perks & Discounts
Casual Dress
Commuter Benefits
Happy Hours
Happy hours are hosted Once per week.
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