Software Engineer, Machine Learning

Meta; Fremont (CA); On-site; USD 8,000 - 251,000; Full time

Job summary

An innovative company is seeking a Machine Learning Engineer to lead transformative projects that redefine social connectivity. In this role, you will harness your extensive experience in machine learning, recommendation systems, and technical leadership to drive excellence across teams. Collaborating with top engineers and researchers, you will tackle complex data challenges and contribute to the development of scalable ML systems. This position offers a unique opportunity to influence the future of technology and make a significant impact in a rapidly evolving industry. Join us in shaping the next generation of social interactions and immersive experiences.

Benefits

Equity

Comprehensive health benefits

Flexible working hours

Generous paid time off

Professional development opportunities

Remote work options

Wellness programs

Employee discounts

Retirement savings plan

Work-life balance initiatives

Qualifications

• 8+ years of experience in software engineering or relevant field.
• Experience leading major initiatives and developing machine learning models.
• Knowledge of developing and debugging in C/C++ and Java.

Responsibilities

• Set direction and goals for a sizable team in ML system design.
• Adapt machine learning methods for modern parallel environments.
• Lead technical teams to develop ML best practices.

Skills

Machine Learning

Recommendation Systems

Data Mining

Artificial Intelligence

C/C++

Java

Python

Technical Leadership

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

Tools

Pytorch

TensorFlow

Job description

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

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 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

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$85.10/hour to $251,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity 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 here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Meta is proud to be an Equal Employment Opportunity 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 here .

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 assistance or an accommodation due to a disability, fill out the Accommodations request form .