Software Engineer, Machine Learning

Facebook; New York (NY); On-site; USD 8,000 - 251,000; Full time

Job summary

Meta is seeking a Machine Learning Engineer to drive transformative projects that enhance global connectivity. The role requires ownership of the entire ML life cycle, leading teams to innovate and improve machine learning systems. Candidates should possess extensive experience in ML, solid programming skills, and a strong educational background.

Qualifications

• 8+ years of experience in software engineering or relevant field.
• Experience in machine learning, recommendation systems, or artificial intelligence.
• Bachelor's degree in Computer Science or equivalent experience.

Responsibilities

• Lead and set direction for a sizable team on ML projects.
• Adapt machine learning methods to modern parallel environments.
• Develop scalable classifiers and tools using ML.

Skills

Machine Learning

Recommendation Systems

Pattern Recognition

Data Mining

Artificial Intelligence

Technical Leadership

Scripting Languages

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Computer Science

Tools

Python

Javascript

C/C++

Java

Pytorch

TF

Job description

**Summary:**

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.

**Required Skills:**

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 you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate

4. Leading 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, that require an in depth knowledge of how the machine learning system interacts with systems around it

6. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

7. Suggest, collect and synthesize requirements and create effective feature roadmap

8. Code deliverables in tandem with the engineering team

**Minimum Qualifications:**

Minimum Qualifications:

9. 8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD

10. 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field

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

12. Experience leading major initiatives successfully

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

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

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

16. Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

17. Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions

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

**Preferred Qualifications:**

Preferred Qualifications:

19. Masters degree or PhD in Computer Science or a related technical field

20. Exposure to architectural patterns of large scale software applications

21. Experience with scripting languages such as Pytorch and TF

**Public Compensation:**

$85.10/hour to $251,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

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