Software Engineer, Machine Learning

META
US - West Virginia - Charleston
November 17, 2024

Summary:

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Required Skills:

Software Engineer, Machine Learning Responsibilities:

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

Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)

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

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

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

Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

Suggest, collect and synthesize requirements and create effective feature roadmap

Code deliverables in tandem with the engineering team

Minimum Qualifications:

8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD

6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field

Experience with scripting languages such as Python, Javascript or Hack

Experience leading major initiatives successfully

Experience building and shipping high quality work and achieving high reliability

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

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

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

Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions

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

Preferred Qualifications:

Masters degree or PhD in Computer Science or a related technical field

Exposure to architectural patterns of large scale software applications

Experience with scripting languages such as Pytorch and TF

Public Compensation:

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at ***.

Read the full job description and apply online on the recuiter's web-site

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