Senior Machine Learning Engineer, FarmWise
Innovative farming solutions
Job no longer available
Innovative farming solutions
21-100 employees
Job no longer available
21-100 employees
Company mission
To deliver affordable and reliable vision systems to power tomorrow's farm equipment with ultra precision.
Role
Who you are
- Extensive experience in Python, PyTorch, and other relevant machine learning frameworks
- Proven track record of successfully leading and implementing machine learning projects, with a focus on computer vision and related domains
- Strong problem-solving skills, analytical mindset, and ability to thrive in a fast-paced environment
- Excellent communication skills, both technical and non-technical, and a commitment to mentorship
What the job involves
- As a Sr. Machine Learning Engineer at FarmWise, you will play a pivotal role in leading and executing research and development initiatives
- You will focus on advanced topics such as panoptic segmentation models for plant and weed detection, optimization of embedded models, 3D visual odometry, etc. You’ll be part of a team of Data and Machine Learning engineers
- This role encompasses the entire machine learning lifecycle, from defining state-of-the-art methodologies to deploying sophisticated solutions into production environments and maintaining automated and robust data pipelines
- Lead and collaborate with cross-functional teams to identify and define complex machine learning challenges in agriculture
- Design, develop, and implement advanced machine learning algorithms, with a focus on automated diagnosis of mislabeled images and model robustness
- Conduct in-depth research to establish and integrate state-of-the-art approaches in machine learning domains
- Design and execute comprehensive experiments to evaluate and optimize machine learning models
- Collaborate closely with the engineering team to successfully deploy advanced models into production environments
- Mentor and guide junior team members, fostering a culture of continuous learning and improvement
Application process
- HR Interview
- Technical Interview
- Take-home challenge
- In person interviews with various team members
Our take
Autonomous robotic equipment presents great opportunities for efficiency in farming, but unfortunately it comes at a very high cost. Existing companies sell robotics directly to farms, but this is often unaffordable and requires advanced technical training that the average farmer is not qualified for.
FarmWise rent out robotic equipment to farms, and charge approximately $200 per acre of land worked upon. The company brings the equipment and sets it up to work automatically, preventing farmers from having to program the equipment themselves - smartly exploiting the gap in the market where farmers cannot afford such equipment, or lack the training to use it.
In this approach, FarmWise presents opportunities for all farms to benefit from the time and cost efficiency associated with autonomous robotic equipment, as opposed to this being exclusively accessible to corporate farms. The company is well-funded, and seems focussed on broadening its product capabilities towards serving more farmers across more sectors in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2022
$45m
SERIES B
Sep 2019
$14.5m
SERIES A
Total funding: $65.2m
Company benefits
- Equity
- Flexible PTO & 8 company-wide holidays
- Generous Health Benefits (Medical, Dental, Vision), including FSA and HSA options
- 401(k) with Company Match
- Free catered lunch and plenty of snacks
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Sébastien Boyer
(Co-Founder & Chair of the Board)Co-Founder at The Marshmallow Project, Board member and CRO at Zeffy, Board member at PowerZ and Venture Partner at Basis Set.
Thomas Palomares
(CTO)Studied Management Science &and Engineering at Stanford, where they interned at TÜV Rheinland and IBM.
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