Software Engineer, Machine Learning

Meta; Bellevue (WA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Software Engineer with machine learning expertise to help build and scale ML systems powering apps used by billions. You will design, develop, and optimize ML models and infrastructure across domains such as ranking, recommendation, NLU, CV, or generative AI.

You will work with product, data science, and infrastructure teams to translate research advances into reliable, production-grade systems that influence how people connect and discover content across Meta's apps.

Qualifications

• 6+ years of software engineering experience with a focus on machine learning systems, model development, or ML infrastructure.
• Experience developing and deploying ML models at scale, including feature engineering, model training, evaluation, and production serving.
• Experience designing and analyzing A/B experiments to validate ML model improvements and drive data-informed product decisions.
• Proficient in production-quality Python/C++ code with maintainable, well-tested ML systems.
• Experience owning end-to-end delivery of ML projects, including technical design and collaboration across teams.

Responsibilities

• Design, train, and deploy ML models for large-scale production systems across ranking, recommendation, and generative AI.
• Develop and maintain scalable ML pipelines for data ingestion, feature engineering, and model serving.
• Collaborate with data scientists, product managers, and infrastructure engineers to productionize ML research.
• Define metrics, dashboards, and alerts to monitor model health and drive continuous improvement.
• Lead design discussions of ML components, balancing model quality, latency, and cost.

Skills

ML systems experience

Python

C++

End-to-end ML delivery

A/B experimentation

Product collaboration

Education

Bachelor's degree in CS or related field

Tools

PyTorch

TensorFlow

Distributed training infra

Job description

Meta is seeking a Software Engineer with machine learning expertise to help build and scale ML systems that power products used by billions of people. In this role, you will design, develop, and optimize machine learning models and infrastructure across domains such as ranking, recommendation, natural language understanding, computer vision, or generative AI. You will work closely with product, data science, and infrastructure teams to translate research advances into reliable, high-impact production systems that shape how people connect, communicate, and discover content across Meta's family of apps.

Software Engineer, Machine Learning Responsibilities:

• Design, train, and deploy machine learning models for large-scale production systems spanning ranking, recommendation, classification, or generative AI applications
• Develop and maintain scalable ML pipelines covering data ingestion, feature engineering, model training, evaluation, and serving
• Collaborate with data scientists, product managers, and infrastructure engineers to translate ML research into reliable, production-ready systems
• Define and instrument metrics, dashboards, and alerting to monitor model health, detect regressions, and drive continuous improvement
• Lead technical design of ML components and systems, evaluating trade-offs across model quality, latency, throughput, and infrastructure cost
• Design and analyze experiments to validate model improvements, articulate assumptions, and make data-informed decisions that balance short-term gains with long-term product objectives
• Identify and resolve performance bottlenecks in model training and inference through profiling, optimization, and architectural improvements
• Proactively incorporate privacy, security, and responsible AI principles into ML system design and model development workflows
• Mentor other engineers on ML best practices, contribute to team coding standards, and drive adoption of tooling and automation that improves development efficiency
• Communicate technical decisions, trade-offs, and experimental outcomes clearly to cross-functional stakeholders across varying levels of technical background

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of software engineering experience with a focus on machine learning systems, model development, or ML infrastructure
• Experience developing and deploying machine learning models at scale, including feature engineering, model training, evaluation, and production serving
• Experience designing and analyzing A/B experiments to validate ML model improvements and drive data-informed product decisions
• Experience writing production-quality code in Python, C++, or a comparable language, with a track record of building maintainable, well-tested ML systems
• Experience owning end-to-end delivery of ML projects, including technical design, cross-functional collaboration, and operational readiness

Preferred Qualifications:

• Experience with large-scale ML frameworks such as PyTorch or TensorFlow, and familiarity with distributed training and model serving infrastructure
• Experience applying responsible and ethical AI practices, including bias evaluation, risk assessment, and model quality reviews
• Experience in one or more specialized ML domains such as recommendation systems, natural language processing, computer vision, or generative AI
• Demonstrated ability to integrate AI-assisted development tools to improve engineering efficiency and code quality
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.

Meta is proud to be an Equal Employment Opportunity and Affimitive Action employer. 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].

$154,003/year to $217,000/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.