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  • The site is refreshed daily to remove out-of-date content.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

Meta Software Engineer, Machine Learning in Singapore

Summary:

We are hiring ML engineers and research scientists at all levels to build state-of-the-art recommendations on Facebook for both News Feed and Video & Reels. Videos (Reels, long videos, and Live streams) are increasingly the formats of choice across the social media industry. In addition, AI-recommended content from accounts you don't follow is now the fastest growing category of content on Facebook's feed. Making all these formats & product surfaces successful is a top priority for Facebook.

Required Skills:

Software Engineer, Machine Learning Responsibilities:

  1. Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence

  2. Understand industry & company-wide trends to help assess & develop new technologies

  3. Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate

  4. Leading a team from a technical perspective to develop ML best practices and influence engineering culture

  5. Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it

  6. Suggest, collect and synthesize requirements and create effective feature roadmap

Minimum Qualifications:

Minimum Qualifications:

  1. Experience with developing machine learning models at scale from inception to business impact

  2. Experience leading projects with industry-wide impact

  3. Vast experience communicating and working across functions to drive solutions

  4. Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

  5. Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

  6. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

  7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications:

Preferred Qualifications:

  1. Exposure to architectural patterns of large scale software applications

  2. Experience in shipping products to millions of customers or have started a new line of product

Industry: Internet

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