Hybrid Director of Data Engineering, Robotics – Machine Learning

at Oishii

• Job title: Director of Data Engineering, Robotics – Machine Learning
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Python, PyTorch, SQL, Tensorflow
• Location requirements: Hybrid, Jersey City, United States

About the role

• Director of Data Engineering leading AI and machine learning initiatives for innovative vertical farming company. Transforming agriculture through automation and advanced analytics in strawberry production.

Responsibilities

• Oversee Oishii’s current machine learning approach and strategy and continue building a world class AI pipeline.
• Specific focus on harvesting automation edge models and plant yield forecasting
• Deliver amazing data products, developing creative solutions while leveraging our extensive data lake and data collection capabilities
• Build machine learning infrastructure and models (e.g. recommendation engines, statistical models, NLP engines) that drive activity on our platform, scale our business, and enhance the farm and user experiences.
• Work closely with business and technical teams to gather, analyze, and understand business requirements, translate activities and objectives into analytical models and algorithm codes for application in production scale environment
• Perform analysis on existing data and suggest and implement new potential data sets (leveraging our automated collection) to identify and develop innovative advanced analytics opportunities
• Manage, mentor, and develop a data and machine learning team
• Provide technical guidance and mentorship, train and mentor junior colleagues on other teams
• Work with multi-functional teams to access data elements, understand the data being analyzed, and identify improvement opportunities for data ingestion process
• Facilitate and identify repeatable testing strategies for measuring results produced by analytics models
• Communicate complex machine learning ideas, designs, and processes to both technical and non-technical stakeholders
• Provide vision and solutions regarding data storage and optimization
• Own all phases of the data lifecycle (exploratory data analysis, model development, model productionizing, rollout, and evaluation)

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Analytical Sciences (biology, ecology, etc.), Statistics, or related field.
• 7+ years experience in a similar engineering leadership role, with at least 3 years leading a team hands-on.
• 3+ years of experience in data science, data engineering, machine learning, and API-based solution architecture.
• Experience with Tensorflow, pytorch, ONXX a plus!
• 2+ years of hands-on experience in architecting, developing and implementing advanced analytics models and machine learning algorithms for scalable production environments.
• Highly proficient skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).
• Demonstrated track record of leading the delivery of successful and innovative machine learning products, working independently and with key stakeholders.
• Expert level understanding of core ML/Statistics/CS principles.
• Experience with AWS preferred.
• Front end web knowledge is a plus.
• Startup experience is a major plus!

Benefits

• Competitive salary and equity package
• Medical/Dental/Vision Insurance
• 100% Employer Paid Life Insurance + Long Term Disability Insurance
• EAP Access
• Pet Insurance
• 401(k) Retirement Plan (Roth & Traditional)
• Paid Parental leave
• Office social events including happy hours, parties, and community service projects
• Employee activity groups for basketball players, Yoga Enthusiasts, runners…