Machine Learning Engineer

3 weeks ago

Mountain View, California, United States META Full time
Job Summary:

Meta is embarking on a transformative journey, and our Machine Learning Engineers are at the forefront of this evolution. As a key member of our team, you will lead crucial projects and initiatives that have never been done before, helping 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.

Key Responsibilities:

Leading projects or small teams of people to help them unblock and advocate for ML excellence

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

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

Suggesting, collecting, and synthesizing requirements and creating effective feature roadmaps

Coding deliverables in tandem with the engineering team

Requirements:

6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD

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

Experience with scripting languages such as Python, Javascript, or Hack

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 building and shipping high-quality work and achieving high reliability

Track record of setting technical direction for a team, driving consensus, and successful cross-functional partnerships

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Preferred Qualifications:

Masters degree or PhD in Computer Science or another ML-related field

Exposure to architectural patterns of large-scale software applications

Experience with scripting languages such as PyTorch and TF

Compensation:
$70.67/hour to $208,000/year + bonus + equity + benefits

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 accommodations-

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