W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters. Job OverviewJob ID: J36993
Specialized Area: Machine learning
Job Title: Machine Learning Engineer
Location: To Be Discussed Later
Duration: 11 Months
Domain Exposure: Healthcare, Manufacturing, Banking & Finance, Insurance, Education, IT/Software
Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Job DescriptionCalico is seeking a machine learning (ML) engineer to develop and productionize ML algorithms and software tools to support research into human aging and aging-related diseases. This person will be part of a cross-functional effort to build a world-class machine learning platform to advance research efforts at Calico, develop novel ML algorithms to solve challenging research questions, and play a critical role in defining and executing Calico's strategy in computational biology and machine learning.
Candidates should be comfortable dealing with various types of biological data or data at a scale such that required methods and tools have yet to be well-developed. The ideal candidate should be comfortable analyzing data at scale; have experience implementing, extending, and debugging machine learning techniques; and have expertise in designing and building high-leverage data infrastructure and tools. Candidates should be able to demonstrate a strong ability to communicate ideas and results, and to work cross-functionally to execute complex projects.
ResponsibilitiesStrong background working with machine learning methods and experience in implementing and extending ML algorithms.Strong software engineering skills and substantial expertise in one of Python, R, C/C++, or Java.Track record of effective communication and collaboration in a cross-functional environment.Strong analytical and quantitative skills.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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