Machine Learning Software Engineer

About

Summary: Join Meta, a leader in connecting billions of people worldwide, by becoming a part of our dynamic team as a Machine Learning Software Engineer. In this role, you'll tackle complex technical challenges, create new features, and refine existing products across diverse platforms, including mobile and web applications. Our relentless focus on enhancing user experience provides a unique opportunity for passionate engineers to contribute significantly to global connectivity. If you're excited about joining a world-class team of engineers and researchers to work on impactful projects, we encourage you to apply. Responsibilities: Collaborate with cross-functional teams such as product, design, operations, and infrastructure to craft innovative application experiences. Implement custom user interfaces with the latest programming techniques and technologies. Analyze and optimize code for quality, efficiency, and performance, providing constructive feedback during peer code reviews. Lead major initiatives by setting direction and goals for teams, offering technical guidance and mentorship, and assisting in the onboarding of new team members. Architect efficient and scalable systems that support complex applications. Identify and mitigate performance and scalability issues, leading substantial efforts to minimize technical debt. Work with diverse coding languages and technologies. Establish ownership of components, features, or systems with expert end-to-end understanding. Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. 8+ years of programming experience in a relevant language, or 4+ years with a PhD. Proven experience in driving change within an organization and leading complex technical projects. Strong ability to utilize data and analysis for explaining technical problems and providing detailed feedback and solutions. Preferred Qualifications: Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of natural language processing techniques, including text preprocessing, tokenization, and sentiment analysis. Familiarity with information retrieval concepts, such as indexing, querying, and ranking. Solid understanding of data structures and algorithms, including graph theory and optimization techniques. Compensation: Salary ranges from $88.46/hour to $257,000/year, including bonus, equity, and benefits. Industry:
Internet Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy-related conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, protected veteran status, disability, or other legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable laws. Meta participates in the E-Verify program in certain locations as required by law. Note that Meta may utilize artificial intelligence and machine learning technologies in connection with employment applications. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you require assistance or accommodations due to a disability, please let us know.

United States

Languages

English

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