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Software Engineer, Machine Learning

Software Engineer, Machine Learning

10 Hours ago • All levels

About the job

Summary_{By Outscal}

9 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

Experience in software engineering
Experience in machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence
Experience with scripting languages such as Python, Javascript or Hack
Experience leading major initiatives successfully
Experience building and shipping high quality work
Experience with developing machine learning models at scale
Knowledge developing and debugging in C/C++ and Java
Experience demonstrating technical leadership
Experienced in utilizing data and analysis to explain technical problems
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field

Good to have:

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

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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.

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

Experience in software engineering, or a relevant field

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

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Locations

Data Center

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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