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  • The site is refreshed daily to remove out-of-date content.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.

Job Information

Uber Sr Software Engineer - Machine Learning in Sunnyvale, California

About the Role

Uber Marketplace is at the core of Uber's business, and Rider Pricing & Incentives is a strategically critical component of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.

This role will drive high-impact projects to optimize rider pricing & incentives at Uber using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, converting ideas to scalable systems.

What the Candidate Will Need / Bonus Points

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

  • Innovate on ML + optimization solutions to solve high-impact business problems

  • Productionise modeling solutions into scalable and robust systems

  • Collaborate with cross-functional and cross-team stakeholders

---- Basic Qualifications ----

  • Bachelor's degree in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience

  • Programming language (e.g. C, C++, Java, Python, or Go)

  • Experience with machine learning and optimization algorithms

---- Preferred Qualifications ----

  • PhD in Computer Science, Engineering, Mathematics, Statistics or related field, with 2+ years of full-time engineering experience

  • Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact

  • Experience with large-scale training and data systems (e.g. Spark/Hive)

  • Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, computation complexity, maintainability, and extensibility in production environments

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year. For all US locations, 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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