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Everything you need to get started with computer vision AI models

Senior Applied Machine Learning Engineer

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About the Company

Clarifai is an artificial intelligence company that excels at visual recognition. We do not sell abstract, futuristic technology - we sell a solution that businesses can use to solve real-world problems. We believe that the same AI technology that gives big tech companies a competitive edge should be available to developers and businesses of any size or budget. That’s why we build products to make it easy, quick, and inexpensive for developers and businesses to innovate with AI, go to market faster, and build better customer experiences.

We have secured $40M in funding up to date, backed by Menlo Ventures, Google Ventures, USV, NVIDIA, Qualcomm, Osage, Lux Capital, LDV Capital, and Corazon Capital. To continue to succeed, we need people like you to join the team!

Clarifai is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Your Impact

You’ll join our Applied Machine Learning Team and help our team drive customer acquisition and revenue growth in 2020. You value collaboration and want to work closely with others in the company, including research, backend, infrastructure, product, frontend, and design. You’ll help build and maintain our customer models and visual search technology. You have the ability to make a significant impact on the company and the AI space as a whole.

Your Opportunity

Note: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this particular opportunity, as we are looking for someone who is eligible to obtain a TS or Secret Clearance.

  • Train public and private custom models with curated data and evaluate model performance. We are always looking to increase our accuracy and refine our current models.
  • Work with our senior engineers to improve our object detection, segmentation, tracking, visual search and develop new products.
  • Help the team deploy production ready models to customers. We anticipate that customers will have steady feedback for us on the models, so we should be focusing on using that feedback to make frequent model improvements.
  • Help maintain our research ML infrastructure.
  • Collaborate with the research team, and make sure solutions worked out by our research team are production ready. We value alignment between the Applied Machine Learning and research teams, and this is key to our continued success.

Requirements

  • 3+ years of hands-on experience crafting and experimenting with neural networks, machine learning techniques and computer vision
  • Experience with imaging or NLP modalities
  • Fluent with using a neural network framework such as TensorFlow, Keras, Caffe, or Torch, and understanding how back-propagation works
  • Fluent with Python, as well as experience with packages such as NumPy, pandas, scikit-learn, and matplotlib.
  • This role is not

Great to Have:

  • Experience with search infrastructure or GO language
  • Experience with TensorRT, Deepstream Projects in video, speech, or NLP
  • Experience with government contracts and interactions
  • Published Research papers/patents

Objectives

You’ll thrive in this role if you love to learn fast and move fast.

In your first 30 days, you will:

  • Get up to speed on either a customer-facing ML project or a component of our ML infrastructure for training our models
  • Learn how we work with both the Research team and the Backend team
  • Have created your own branch and begun coding

60 days in, you will:

  • Be adding either functionality or scalability to key software components, under the guidance of a Senior AML Engineer
  • Have contributed to at least one biweekly sprint
  • Helped ship something a customer cares about

180 days in, you will:

  • Invented a new way to do something
  • Improved the platform to make other engineers and scientists more efficient
Location
New York City • San Francisco • New York • Tysons • McLeanRemote
Hires remotely
Everywhere
Job type
Full-time
Visa sponsorship
Available
Hiring contact

Eddie Renard

Avatar for Eddie Renard

Insurance

Medical, dental, vision coverage. Life and death insurance.

Equity package

Generous stock option grants.

Lunch

Enjoy lunch, every day on us!

Gym & more

e also offer discounted gym memberships and a stipend for your cell-phone bill each month.

Commuter benefits

Offered through our vendor WageWorks, use pre-taxed dollars to spend on commute expenses.

Continous learning

We have Hackday once a month, and offer a stipend each year to spend on self-development courses, training, certifications, etc.

Donation matching

Clarifai will match employee for donations to 501(c) charities.

Event stipend

Quarterly employee event allowance for business entertainment or team entertainment.

Relocation

We'll help make things a bit easier by supporting moving costs.

Clarifai at a glance

Everything you need to get started with computer vision AI models

Clarifai focuses on Mobile, Enterprise Software, Machine Learning, Artificial Intelligence, and Visual Search. Their company has offices in New York City, San Francisco, New York, Tysons, and McLean. They have a mid-size team that's between 51-200 employees. To date, Clarifai has raised $40M of funding; their latest round was closed on October 2016.

You can view their website at http://clarifai.com/ or find them on Twitter and Facebook.

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