{"id":2119836,"url":"https://alion.io/job/zoom-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3099,"name":"Zoom Communications","domain":"zoom.com","url":"https://alion.io/company/zoom","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":264000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":414},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-05-21T00:00:00Z","employer_posted_date":"2026-05-21","last_verified_at":"2026-10-12T05:51:17Z","board_verified":true,"closed_at":null,"days_open":144,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":144},"description":"Immigration sponsorship is not available for this positionResponsibilities: \nDesign, implement, and optimize GenAI algorithms, techniques and solutions to address complex\nbusiness challenges.\nCollaborate with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.\nParticipate in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.\nIdentify opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.\nStay up to date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.\n\nWhat we're looking for:\nRequires a Bachelor's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent. Must have 3 years of experience in job offered or related occupation. Must have 3 years of experience in the following skills:\nUtilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems;\nDeep learning frameworks including PyTorch and TensorFlow;\nPresenting academic or personal AI projects;\nCollaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences;\nAgentic AI including LLM driven AI agents, agentic RAG;\nBuilding scalable, maintainable, and production-ready machine learning systems; and\nAnalyzing data and troubleshooting issues related to deployed AI systems.\nTelecommuting work arrangement permitted one day per week. Four days in office required. Position does not require domestic or international travel.\nIn Lieu of a Bachelor's degree and 3 years of experience the company will accept the following: Must have Master’s degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent. Must have 1 years of experience in job offered or related occupation. Must have 1 years of experience in the following skills:\nUtilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems;\nDeep learning frameworks including PyTorch and TensorFlow;\nPresenting academic or personal AI projects;\nCollaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences;\nAgentic AI including LLM driven AI agents, agentic RAG;\nBuilding scalable, maintainable, and production-ready machine learning systems; and\nAnalyzing data and troubleshooting issues related to deployed AI systems.\nTelecommuting work arrangement permitted one day per week. Four days in office required. Position does not require domestic or international travel.\nZoom Communications, Inc.\n#LI-DNI\n#Ind0\nSalary Range or On Target Earnings:\nMinimum:\n$183,600.00Maximum:\n$275,400.00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.\nNote: Starting pay will be based on a number of factors and commensurate with qualifications & experience.\nWe also have a location based compensation structure; there may be a different range for candidates in this and other locations.\nWays of Working\nOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.\nBenefits\nAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.\nAbout Us\nZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.\nWe’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.\nOur Commitment\nAt Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we’re here to support you at every step.\nWe welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.\nIf you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.\nThink of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.\nOur interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. 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