Software Engineer, Machine Learning

Meta; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented Machine Learning Engineer to drive transformative projects that redefine social connections. This role offers the chance to work with cutting-edge technology and collaborate with leading experts in the field. You'll take ownership of the entire ML life cycle, adapting advanced techniques to optimize performance and impact. Join a forward-thinking company that is shaping the future of social technology, moving beyond traditional screens to immersive experiences. If you're passionate about innovation and eager to make a difference, this opportunity is perfect for you.

Qualifications

• Experience in software engineering and machine learning is essential.
• Demonstrated technical leadership and project ownership required.

Responsibilities

• Lead a sizable team in ML system design and project impact.
• Develop scalable classifiers and tools leveraging machine learning.

Skills

Machine Learning

Recommendation Systems

Data Mining

Artificial Intelligence

Technical Leadership

Software Engineering

Education

Bachelor's degree in Computer Science

Master's degree or PhD in Computer Science

Tools

C/C++

Java

Python

Pytorch

TensorFlow (TF)

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

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. Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
3. Re-evaluate the tradeoffs of already shipped features/ML systems, and drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate.
4. Lead 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, requiring an in-depth knowledge of how the machine learning system interacts with surrounding systems.
6. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
7. Suggest, collect and synthesize requirements and create an effective feature roadmap.
8. Code deliverables in tandem with the engineering team.

Minimum Qualifications

1. Experience in software engineering, or a relevant field.
2. Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field.
3. Experience leading major initiatives successfully.
4. Experience building and shipping high quality work and achieving high reliability.
5. Experience with developing machine learning models at scale from inception to business impact.
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. Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.
8. Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications

1. Master's degree or PhD in Computer Science or a related technical field.
2. Exposure to architectural patterns of large scale software applications.
3. Experience with scripting languages such as Pytorch and TF.

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

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.

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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