TriSearch

This is a remote opportunity with a maximum of quarterly visits to the client HQ (Bay Area / San Francisco).
Working hours are 9am to 5pm Pacific.
Total compensation range is 300-350K. No visa sponsorship at this time.
NOTE: This a machine learning role where you will oversee the building and deployment of machine learning applications where software makes the decisions on why, how, when and what changes to make.
As Director of Machine Learning, your work will directly impact all areas of the business by leading teams to implement machine learning & big data solutions. You will work closely with multiple machine learning teams & partnering engineering teams in prioritizing predictive features & experiments as well as designing / implementing the backend tooling around the model. This is also a people management opportunity where machine learning engineers will rely on you for mentorship and growth. You will be responsible for managing the performance and career development of your team while setting the overall strategy within your function.
Responsibilities
Lead and inspire a growing team of about 15 machine learning engineers to design ML models and build ML software applications of the highest quality that meet retail pricing objectives
Participate in research and experimentation of machine learning and big data solutions for product pricing
Review pull requests and model design to provide constructive feedback
Hire, Coach, provide technical guidance to, and mentor team members
Clearly communicate with product management and the larger business about the technical solves in simple, easy to understand language
Influence business solutions using machine learning knowledge
Partner with senior leadership to define the machine learning roadmap
Qualifications & Experience
8+ years experience in a data engineering role
4+ years of experience managing a development, data engineering or data science team
Strong ability to build a data solution to solve business problems and move key metrics in the area of product pricing
Strong people manager and ability to harmonize and grow teams
Experience partnering cross-functionally with product management and engineering to align on objectives and risks
Strong technical knowledge of building and deploying ML solutions including tools such as Python, Sklearn, Tensorflow/Keras, Pytorch
Familiarity of with cloud and big data tools (Kafka, Big Query, Beam, Spark, Lambdas)
Experience in the retail industry, product pricing and supply chain / distribution would be a plus
Stem Degree: Computer Science, Data Science, Electrical Engineering, Math, Physics, etc.
Job Type: Full-time
Pay: $220,000.00 – $250,000.00 per year
Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Employee discount
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Schedule:

Monday to Friday

Supplemental Pay:

Bonus pay

Work Location: Remote

Remote

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