Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Uber Senior Software Engineer - Machine Learning / Optimization in San Francisco, California

About the Role

Are you a passionate Machine Learning Engineer who thrives in fast-paced environments and enjoys building impactful solutions that shape the future of transportation?

Join our Driver Pricing team at Uber and be at the forefront of developing machine learning models that optimize driver earnings and overall platform efficiency. You will play a crucial role in designing, building, and deploying cutting-edge algorithms that determine fair and dynamic pricing for Uber drivers across the globe.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

  • Design and build end-to-end machine learning pipelines

  • Develop innovative pricing models

  • Collaborate with cross-functional teams

---- Basic Qualifications ----

  • Master's or Ph.D. in Computer Science, Statistics, or a related field.

  • Minimum 5 years of experience in industry with a strong focus on machine learning and optimization.

  • Proven experience in designing, building, and deploying machine learning models at scale.

  • Strong understanding of statistical analysis and feature engineering techniques.

  • Excellent communication and collaboration skills.

  • Ability to work independently and take ownership of projects.

  • Empathy for users; passion for transportation and the impact of technology on the industry.

---- Preferred Qualifications ----

  • Experience with deep learning and transformers techniques.

  • Experience building or initiating data-driven / optimization-driven products

  • Experience working in a fast-paced, agile environment.

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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