WHO WE ARE & WHAT WE DO
Founded by global technology pioneer, Larry Ellison and esteemed physician and author, Dr. David Agus, Sensei Ag is a market-changing AgTech company on a journey to improve human nutrition. Our greenhouse farms align technology with the environment to protect and preserve natural resources, while optimizing how we grow food. Merging agriculture and innovation to achieve sustainable farming practices allows us to grow high-quality, delicious produce year-round.
JOB LOCATION
This is a Cambridge, Massachusetts (Hybrid) or US REMOTE position.
COMPENSATION
$88,000 - 131,000 / year, Exempt, with a discretionary bonus of up to 10%.
BENEFITS WE OFFER
- Comprehensive Medical, Dental & Vision Plans
- Prescription Drug Benefits, Employee Assistance Program (EAP) & Employee Wellness
- HSA/FSA
- Basic Life and AD&D & Short and Long-Term Disability
- Paid-Time Off and Travel Assistance Program
- 401K
NOTE: Residents of Hawaii, receive a Comprehensive Healthcare Bundle different from US Mainland plans/programs.
WHY IS THIS POSITION OPEN?
Machine learning in computer vision will play a key role in our automation plan for the next generation greenhouse. This position will focus on creating models to automate tasks and controls in the greenhouse.
WHAT IS THE DEPARTMENT CULTURE LIKE?
Highly supportive and collaborative. Engage with each other frequently. Fun and amicable. Creative problem solvers.
WHY SHOULD I APPLY?
Be part of an opportunity to help build a data-driven company and support a mission that will benefit the world!
ABOUT THE ROLE
Sensei Ag is currently hiring for a Data Scientist, Computer Vision. The mission of the Data Insights group is to foster a data-driven organization by providing robust and organized data and supporting the wise use of data to gain insights and make decisions. We’re looking for someone who has a passion for sifting valuable new insights out of big data. An ideal candidate brings experience with computer vision and has passion for building sustainable agriculture solutions and for increasing the availability of nutritious and flavorful fruits and vegetables. Day-to-day tasks include working with subject matter experts to deeply understand the available data sets, implementing analyses and machine learning methods to classify and make predictions, and communicating learnings concisely. This will be accomplished by understanding and keeping up to date on modelling methodologies.
WHAT YOU WILL DO
- Work closely with stakeholders across the organization to understand where data can be used to optimize systems or gain new knowledge.
- Maintain current knowledge of data science methodologies and advise on which is most appropriate to a given need or knowledge gap.
- Develop novel machine learning approaches.
- Perform literature reviews and assessments of the current state of technology for different applications.
- Work with data engineers to encode algorithms into robust pipelines for routine use.
- Prototype tools to display and communicate with data.
- Work with data engineers to develop systems for routine training, testing and deployment of models.
- Brainstorm novel insights and new ways to leverage data.
SKILLS and EXPERIENCE YOU WILL NEED
- 3+ years of experience in the commercial space or other demonstration of ability solving real-world computer vision problems.
- MS in data science or related field.
- Ability to independently source data, formulate problems and test solutions in the modeling and optimization domain.
- Proficiency with utilizing and deploying machine learning models.
- Expertise in Python, including work with data science libraries such as Numpy, Pandas, scikit-image.
- Experience with reviewing literature and summarizing learnings.
- Broad experience with multiple computer vision libraries in Python.
- Expertise with extracting data via query languages and from object storage buckets.
- Excellent verbal and visual communication skills, specifically with an aptitude for conveying data insights visually.
- Ability to work with teams across the organization to understand challenges and data sources.
- Ability to work with data and software engineers to support maintenance of robust data sources and to develop infrastructure for routine use of models.
Bonus points if you have...
- Experience with MLFlow or other experiment tracking system.
- Experience with image annotation tools and image versioning solutions.
- Experience with the following relevant tools: Docker, Open CV, PyTorch, TensorFlow, Detectron2, TorchVision, TensorFlow Model Garden, CUDA, PowerBI, Tableau.
- Experience with Julia, Matlab, R and other engineering-oriented languages.
- Experience in agriculture modeling, morphometrics, or hyperspectral imaging.
- Experience with deploying and maintaining computer vision models in a production environment.
- Experience with data pipelines and job automation and associated tooling.
- Experience in the Oracle cloud computing environment.
- Experience with data warehouse technologies such as Snowflake, Big Query, Spark, and Parquet.
TRAVEL REQUIREMENTS
- Up to 10%
- Expected to travel for quarterly off-sites
WHY YOU SHOULD JOIN US
Sensei Ag is expanding and seeking highly skilled individuals to be part of our team. Experience a dynamic and collaborative work culture as we revolutionize health and the future of food. We are looking for individuals who are intelligent, yet humble, dedicated and genuine, with grit and lots of it! Become a part of our team today!
This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with the job. Other duties may be assigned.
Top Skills
What We Do
We are a market-changing AgTech company on a mission to solve global gaps and inconsistencies in nutrition, food safety and security through the transformative power of data.
Joined together on a mission to improve health and wellness, Oracle Co-founder Larry Ellison and acclaimed physician and scientist Dr. David Agus formed Sensei Holdings, Inc., including Sensei Farms and Sensei Retreats, on the Hawaiian island of Lāna’i. Sensei Holdings, Inc. has bifurcated its agriculture and leisure travel units. The farms division now operates as Sensei Ag.
Guided by the incomparable capabilities of our founders, Sensei Ag develops and deploys cutting-edge agricultural technologies to build a better, more stable food supply that is capable of feeding our entire world nutritionally-relevant, delicious, affordable meals.
We follow three operational pillars to finally making closed environment agriculture affordable. First, we use modular components in our production processes to quickly and efficiently deploy the highest performing technologies. Second, we implement each of our technologies in a form factor agnostic manner, growing plants in the environment best suited for each crop. Third, through a combination of partnership, collaboration and acquisition, we significantly reduce the time needed to build large-scale indoor farms, ensuring the relevance and freshness of all of our technologies.
We are currently piloting our growing techniques at Sensei Farms Lāna’i, which has the capacity to produce over a million pounds of food per year, all in less than an acre of space and with 90% less water than traditional farming. We will take the learnings of our pilot farm on Lāna’i across the globe and bring hyper-local, nutrient-rich, affordable food to developed and emerging economies.
Sensei Ag is the present and future of farming that will support human health and wellness for decades. Driven by data, grounded in science, focused on wellbeing.
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