Machine Learning Engineer

New York City

Applications have closed

Aquabyte

Healthy fish at lower cost. Automatic lice counting, welfare scoring, and biomass control. Information for data-driven decision making to increase revenue.

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Aquabyte is seeking a Machine Learning Engineer to design and operate our ML research and application platform that enables fish farm's sustainable operations across the world.
For candidates who are interested in relocating to SF/Bay Area, relocation is offered to company headquarters office in San Francisco CA. This role is on a hybrid split-week schedule, splitting time working in the office and working from home. #LI-Hybrid
We're happy to announce the completion of our Series B round of funding to continue our mission of transforming aquaculture to meet the world’s demand for sustainable protein!
Watch a short documentary on Aquabyte with Amazon's CTO at a Norwegian fish farm here!  https://youtu.be/YZ_qJ5JFD3I 
Our mission 
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. By making fish farming cheaper and more viable than livestock production, we aim to mitigate one of the biggest causes of climate change and help prepare our planet for impending population growth. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision makes you smile, gives you goosebumps, or otherwise inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish populations and make environmentally-sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to build a global, collaborative team that creates value far beyond Silicon Valley.
The role
As a Machine Learning Engineer at Aquabyte, you will use deep learning models to extract valuable information from the image data streams and analyze incoming time-series data so that fish farmers make better strategic and operational decisions. You will build and operate the production ML pipelines and optimize them for performance, scale and accuracy. You will monitor the system for data reliability and environmental changes. Join our small but powerful team and work closely with product managers, system designers and customer advocates with years of industry and academic experience.
Watch our TV episode with Amazon's CTO at a Norwegian fish farm here! https://youtu.be/YZ_qJ5JFD3I

Job Responsibilities

  • Build and operate the distributed ML system
  • Processing, cleansing, and verifying the integrity of data used. Integration with third party data source.
  • Design data pipeline and database schemas.
  • Building and optimizing models based on deep learning / computer vision to power Aquabyte product lines such as biomass estimation, lice counting, and optimal feeding
  • Conduct time series analysis and design forecasting models to optimize common farm practices such as fish feeding, fish harvesting, and delousing preparations
  • Doing ad-hoc analysis and presenting results in a clear manner

Qualifications

  • BS/MS in a science/engineering degree
  • Experience with cloud platforms (for example AWS EC2/ECS/Lambda/S3/RDS/SQS, Docker)
  • Understanding of deep learning models.
  • Strong coding ability; Strong grasp of Python
  • Some start up experience
  • Great problem solving skills
  • Excellent communication skills (will be liaison between engineering and research teams)

Bonus Qualifications

  • 5+ years of professional machine learning engineering experience (especially at a startup)
  • Experience with classic computer vision - for example: (a) Keypoint detection - SIFT/SURF and ORB feature detectors; (b) Stereo matching techniques (e.g. semi-global block matching); (c) Edge detection - Canny
  • Experience in Tensorflow, PyTorch, TensorRT, GPU
  • Experience in running AI applications on edge devices

Benefits

  • Competitive salaries and generous equity
  • Unlimited vacation policy
  • Flexible working hours + hybrid work policy
  • Medical, vision, & dental insurance
  • Retirement plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Computer Vision Deep Learning Docker EC2 ECS Engineering GPU Lambda Machine Learning Pipelines Python PyTorch Research TensorFlow TensorRT

Perks/benefits: Career development Flex hours Flex vacation Health care Salary bonus Startup environment Team events Unlimited paid time off

Region: North America
Country: United States
Job stats:  14  1  0

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