Software Engineer, Machine Learning RecSys

Meta; Richmond (VA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented Machine Learning engineers to join our teams to build cutting-edge products connecting billions of people. You will work on complex problems, build new features, and improve products across mobile and web platforms.

You will collaborate with cross-functional teams and lead technical efforts, architect scalable systems, and drive performance improvements while shipping high-quality ML-driven experiences.

Qualifications

• 3+ years of software engineering experience; 2+ years if you have a PhD.
• 2+ years in machine learning, recommender systems, AI, or related field.
• Experience with Python, JavaScript or Hack scripting.
• Experience with developing ML models at scale from inception to business impact.
• Proficiency in C/C++ and Java, or Python, Perl, PHP, or shell scripting.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using modern techniques.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency and performance.
• Lead complex technical or product efforts and provide guidance.
• Architect efficient, scalable systems for complex applications.
• Identify and resolve performance and scalability issues.
• Work with multiple languages and technologies.
• Own components, features, or systems with end-to-end ownership.

Skills

Cross-functional collaboration

UI development

System architecture

Performance optimization

Code reviews

Multi-language development

Ownership mindset

Education

Bachelor's degree in Computer Science or related field

PhD in CS (preferred)

Tools

Python

JavaScript

Java

C/C++

Shell scripting

Job description

Summary:

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.

Required Skills:

Software Engineer, Machine Learning RecSys Responsibilities:

1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences

2. Implement custom user interfaces using latest programming techniques and technologies

3. Develop reusable software components for interfacing with back-end platforms

4. Analyze and optimize code for quality, efficiency, and performance

5. Lead complex technical or product efforts and provide technical guidance to peers

6. Architect efficient and scalable systems that drive complex applications

7. Identify and resolve performance and scalability issues

8. Work on a variety of coding languages and technologies

9. Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:

Minimum Qualifications:

1. 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
2. 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
3. Experience with scripting languages such as Python, Javascript or Hack
4. Experience with developing machine learning models at scale from inception to business impact
5. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
6. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
7. Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
8. Experience building and shipping high quality work and achieving high reliability
9. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
2. Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
3. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
4. Experience with scripting languages such as Pytorch and TensorFlow
5. Exposure to architectural patterns of large scale software applications
6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
7. Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
8. Master's degree or PhD in Computer Science or another ML-related field

Public Compensation:

$183,997/year to $257,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff…? We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, 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. 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