Software Engineer, AI/ML

Meta; Burlingame (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks an AI/ML Engineer to design, build, and deploy machine learning systems powering Meta’s products. You will develop AI models and pipelines at scale, spanning deep learning, LLMs, and recommender systems to solve high-impact problems across our ecosystem.

You will work at the intersection of applied research and production engineering, translating advances into reliable, scalable systems serving billions of users. This role emphasizes collaboration, governance, and measurable impact.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 6+ years designing, training, deploying ML/DL models in production.
• 6+ years with ML frameworks (PyTorch or TensorFlow) and Python for model dev.
• Experience with large-scale distributed training and ML serving infra.
• Experience designing/running online experiments (A/B) to measure impact.
• Clear written communication of technical decisions to diverse stakeholders.

Responsibilities

• Design, develop, and deploy large-scale ML models and AI pipelines across Meta products.
• Own end-to-end technical design of ML systems, including training and inference choices.
• Profile training and serving pipelines to reduce latency and improve efficiency.
• Establish evaluation frameworks with offline metrics and online experiments.
• Collaborate with product managers and data scientists to translate requirements into ML problems.

Skills

ML model design

Production ML

PyTorch

TensorFlow

Python

Distributed training

A/B testing

ML observability

Communication

Mentoring

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

PyTorch

TensorFlow

Python

Job description

Summary:

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems that power some of the world's most widely used products and platforms. In this role, you will develop and optimize AI models and pipelines at scale, applying techniques across deep learning, large language models, recommendation systems, and generative AI to solve high-impact problems across Meta's product ecosystem. You will work at the intersection of applied research and production engineering, translating cutting‑edge AI advances into reliable, scalable systems that serve billions of users.

Required Skills:

Software Engineer, AI/ML Responsibilities:

1. Design, develop, and deploy large-scale machine learning models and AI pipelines across Meta's product surfaces, including ranking, recommendation, and generative AI systems

2. Own the end-to-end technical design of AI/ML systems, evaluating architectural trade‑offs and selecting appropriate modeling approaches, training strategies, and inference frameworks

3. Instrument and profile ML training and serving pipelines to identify performance bottlenecks, reduce latency, and optimize compute efficiency at scale

4. Establish and maintain model evaluation frameworks, including offline metrics, online experimentation, and monitoring to ensure production model quality and reliability

5. Collaborate with product managers, data scientists, and research scientists to translate product requirements into ML problem formulations and deliver measurable improvements to key metrics

6. Contribute to the team's AI tooling and infrastructure by building reusable components, improving developer workflows, and driving adoption of best practices in model development and deployment

7. Apply privacy-by-design principles and integrity safeguards throughout the ML development lifecycle, partnering with cross‑functional teams to meet data governance and compliance requirements

8. Mentor other engineers on ML system design, modeling techniques, and engineering craft, and actively contribute to recruiting and technical community programs

9. Use AI‑augmented development workflows to expand scope across data analysis, product thinking, and operational readiness beyond core modeling work

10. Drive staged rollouts of new models using feature flagging and A/B testing frameworks, proactively monitoring for regressions and leading incident retrospectives to prevent recurrence

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 6+ years of experience designing, training, and deploying machine learning or deep learning models in production environments

3. 6+ years of experience with ML frameworks such as PyTorch or TensorFlow, and proficiency in Python for model development and data processing

4. Experience with large-scale distributed training, model optimization techniques (e.g., quantization, distillation, pruning), and ML serving infrastructure

5. Experience designing and running online experiments (A/B testing) to evaluate model impact on product metrics

6. Experience communicating technical decisions and trade‑offs in writing to both technical and non‑technical stakeholders, including design documents and postmortems

Preferred Qualifications:

1. Track record of driving cross‑team technical initiatives that improved ML platform capabilities or established new modeling standards across an organization

2. Experience with large language models, generative AI systems, or foundation model fine‑tuning and alignment techniques

3. Experience building recommendation or ranking systems at internet scale, including feature engineering, retrieval, and scoring pipelines

4. Experience developing ML observability tooling, including dashboards, alerting, and automated anomaly detection for production model health

Public Compensation:

$154,003/year to $217,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affianative 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].