Software Engineer, Machine Learning RecSys

Meta; Carson City (NV); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta seeks talented Machine Learning engineers to join teams building cutting-edge products that connect billions of people globally. You will tackle complex technical problems, build new features, and improve existing products across mobile and web platforms.

Responsibilities include collaborating with cross-functional teams, implementing interfaces, developing reusable components, and optimizing performance at scale. Join Meta to help shape AI-powered experiences worldwide.

Qualifications

• 2+ years in ML, recommender systems, or AI.
• Experience with Python, JavaScript, or Hack.
• Experience deploying ML models at scale.
• Experience with C/C++ and Java; scripting languages such as Python, Perl, PHP, or shell scripts.
• Track record of setting technical direction for a team and cross-functional partnerships.
• Experience designing or deploying recommender systems (collaborative, content-based, hybrid).
• Experience delivering high-quality work with reliability and monitoring.

Responsibilities

• Collaborate with product, design, operations, and infra to build innovative experiences.
• Implement custom user interfaces using modern programming techniques and technologies.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for performance, quality, and efficiency.
• Lead complex technical or product initiatives and provide guidance to peers.
• Architect efficient, scalable systems for complex applications.
• Identify and resolve performance and scalability issues.
• Work with multiple languages and technologies.
• Establish ownership of components, features, or systems with end-to-end understanding.

Skills

Machine Learning

Recommendation Systems

AI/ML Knowledge

Python/JavaScript

Cross-functional

System Architecture

Performance Optimization

LLMs Familiarity

Education

Master's degree in CS/ML

PhD in CS/ML

Tools

PyTorch

TensorFlow

C/C++

Java

CUDA

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.

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

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

3. Experience with developing machine learning models at scale from inception to business impact

4. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

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

6. Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)

7. Experience building and shipping high quality work and achieving high reliability

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

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, 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 [e-mail].