Machine Learning Engineer, Neural Magic

Salary not provided

NumPy

Scikit-Learn

PyTorch

Keras

Mid and Senior level

Boston

Office located in Somerville, MA

Simplifying machine intelligence

Job no longer available

Simplifying machine intelligence

21-100 employees

B2BArtificial IntelligenceEnterpriseDeep TechMachine LearningSaaS

Job no longer available

Salary not provided

NumPy

Scikit-Learn

PyTorch

Keras

Mid and Senior level

Boston

Office located in Somerville, MA

21-100 employees

B2BArtificial IntelligenceEnterpriseDeep TechMachine LearningSaaS

Company mission

To reduce the cost and increase the performance of end-users deploying deep learning applications.

Job

Company

Role

Who you are

Proven experience as a machine learning engineer or similar role
Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc
Knowledge of common ML frameworks (like PyTorch or Keras) and libraries (like NumPy and scikit-learn)
Strong programming skills with proven experience implementing Python-based machine learning solutions
Ability to interpret and implement research ideas and algorithms
Creative, collaborative, and innovation-focused
Strong sense of project ownership and personal responsibility
Bachelor's in Computer Science, Mathematics or similar field

What the job involves

Use your understanding of machine learning to tackle meaningful technical problems
Collaborate with research and product development teams to build machine learning products
Prototype and implement appropriate ML algorithms, tools, and pipelines
Create and manage training and deployment pipelines
Collaborate with a cross-functional team about market requirements and best practices
Keep abreast of developments in the field

Our take

The edge AI market has expanded exponentially, but hardware solutions like GPUs can result in added costs due to the complexities they introduce into hardware and software infrastructures. Neural Magic has developed an interface engine that runs at GPU speeds but is compatible with already running computer CPUs, reducing costs while speeding up processes.

Since the company’s launch in 2019, new startups including NeuReality, Deci, and Deep Cube have emerged. While these startups offer some sort of edge AI software, the scope of Neural Magic’s optimized models provides leading support for data scientists, engineers, and developers.

Funding secured will help advance operations and further Neural Magic's business reach. As the first company to offer free open-source modelling in an expanding and lucrative market, the company is well positioned to be a leading force in machine learning acceleration.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Oct 2021

$30m

SERIES A

Nov 2019

$15m

SEED

Total funding: $50m

Company benefits

Medical/Dental/Vision Insurance
401(k) & IRA
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave
Short Term & Long Term Disability
Training & Development
Work From Home
Free Food and Snacks
Wellness Resources
Stock Option Plan

Company HQ

Davis Square, Somerville, MA

Leadership

Alex Matveev

(CTO)

Former Research Scientist and Postdoctoral Associate at MIT. Received their PhD in Computer Science from Tel Aviv University.

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