Machine Learning Engineer
Faculty
About this role
A Machine Learning Engineer at Faculty is responsible for delivering customized AI solutions across various sectors, with a focus on life sciences. The role involves building and deploying production-grade machine learning software, collaborating with cross-functional teams to ensure technical feasibility, and defining standards for scalable ML deployment. Candidates should be experienced in the full machine learning lifecycle, proficient in Python, familiar with cloud platforms, and skilled in software engineering best practices.
Skills
About Faculty
faculty.aiFaculty is a leading artificial intelligence company focused on enhancing organizational performance through innovative AI solutions. They partner with businesses across various sectors, including healthcare, finance, and defense, to implement AI strategies that drive significant real-world impact. Their services span AI development, training, and ethical practices, ensuring that companies effectively harness the power of AI while addressing safety and governance concerns. Faculty is recognized for its expertise and contributions in pushing AI solutions forward, aiming to create transformative change in the industries they serve.
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About Faculty
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Faculty.
Salary
$117k – $156k
per year