Healthcare Administrator at Uber
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Uber has an open Machine Learning Engineer position — a chance to work with a talented team on meaningful work. This is a fully remote-friendly position, giving you flexibility to work from anywhere.
Uber operates a mobility platform connecting riders with drivers, food delivery through Uber Eats, and freight logistics, operating in over 10,000 cities worldwide.
As a Machine Learning Engineer at Uber - ML at Uber, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.
Uber is based in Seattle, and this role offers remote flexibility. You will have the opportunity to work from home or any location with a reliable internet connection, while staying connected with your team through regular video calls and collaboration tools.
You will join a team of 8 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.
Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.
Uber supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.
This position is based in Seattle. Remote work is available for this role, with flexibility to work from home or any location with a reliable internet connection.
If you are ready to make an impact at Uber, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.
Yes, this Machine Learning Engineer role at Uber offers remote work flexibility.
The salary range for this position is USD 83,382 - 122,576 per year, depending on experience.
Uber is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.
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