[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Meta Platforms · Menlo Park, CA # Software Engineer, Machine Learning Menlo Park, California, US Full-time Software Engineering Listed on Meta Platforms’s official careers site. Posted October 26, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1505899738040251/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Software Engineer, Machine Learning ## Job description Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect 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 passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply. ## Responsibilities - Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences - Implement custom user interfaces using latest programming techniques and technologies - Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews - Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members Architect efficient and scalable systems that drive complex applications - Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt - Work on a variety of coding languages and technologies - Establish ownership of components, features, or systems with expert end-to-end understanding ## Qualifications - Demonstrated experience driving change within an organization and leading complex technical projects - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies - 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) - Masters degree or PhD in Computer Science or a related technical field - Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis - Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn Understanding of information retrieval concepts, such as indexing, querying, and ranking ## At a glance - Posted by the employer: Oct 26, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 6 days - Location: Menlo Park, California, US - Employment type: Full-time[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1505899738040251/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [Program Manager Software and 3P AI](https://jobs.opennash.com/companies/meta-platforms/jobs/92e864a4940609f9f002/) Menlo Park, California, US ### [Software Engineer, AI for Incident Response (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/f30442311202d6f1d032/) Menlo Park, California, US ### [Software Engineer, Infastructure - Central Integrity](https://jobs.opennash.com/companies/meta-platforms/jobs/f0cc2704b6633ea82024/) Menlo Park, California, US ### [Software Engineer, Machine Learning - AI Solutions and Automation + Support](https://jobs.opennash.com/companies/meta-platforms/jobs/74b8d1bb567dfac6dc78/) Menlo Park, California, US ### [Technical Program Manager, Infrastructure Software Systems](https://jobs.opennash.com/companies/meta-platforms/jobs/0ef7a7cb5cce8f8c8598/) Menlo Park, California, US ## Similar jobs at other companies ### [Software Development Engineer (Machine Learning)](https://jobs.opennash.com/companies/fortinet/jobs/b767b5cf9b10bdd48539/) Fortinet · Sunnyvale, CA, United States ### [Lead Software Engineer - Machine Learning](https://jobs.opennash.com/companies/jpmorganchase/jobs/815edc9fa3516a660061/) JPMorganChase · Palo Alto, CA, United States ### [Senior Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1bc927a217a6f7d43f7e/) Qualcomm · Boulder, Colorado, United States of America ### [Senior Lead Software Engineer - Machine Learning I/O](https://jobs.opennash.com/companies/jpmorganchase/jobs/04c22d4088a962c9fe32/) JPMorganChase · Plano, TX, United States ### [Senior Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/0ef4466cd07c6ef265b5/) Qualcomm · San Diego, California, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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