{"id":1270318,"url":"https://alion.io/job/bytedance-machine-learning-engineer-aml-engine-multiple-positions","title":"Machine Learning Engineer, AML - Engine (Multiple Positions)","company":{"id":13,"name":"ByteDance","domain":"bytedance.com","url":"https://alion.io/company/bytedance","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"C","score":66,"open_postings":1283,"ghost_share":0.569,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":187741,"max":316800,"currency":"USD","period":"year","gross":null,"usd_annual":316800},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"OpenMP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-08-12T16:54:03Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T10:50:11Z","board_verified":false,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":46},"description":"岗位职责 / Responsibilities\nAbout ByteDance\nFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.\nWhy Join Us\nInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.\nAs ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless.\nJoin us.\nAbout the Team\nOur team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!\nResponsibilities\nApply machine learning and robotics research knowledge including LLM and reinforcement learning to analyze and optimize deep learning model architectures.\nDesign and implement high-performance CUDA kernels to accelerate model inference and computation-heavy operators.\nAnalyze computation graphs to identify optimization opportunities across different model structures.\nLeverage parallel computing techniques such as CUDA and OpenMP to improve throughput, latency, and resource utilization in ML workloads.\nMigrate between TensorFlow and PyTorch model serving frameworks, ensuring correctness and performance consistency.\nDevelop algorithm-level optimizations for both in-graph and out-of-graph computations, balancing AUC and execution efficiency.\n任职要求 / Requirements\nQualifications\nMust have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Robotics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Robotics, Mathematics, or a related quantitative field, and 3 years of related work experience. \nOf the required experience, must have 1 year of experience in each of the following:\nCoding using Python or C++;\nOptimize deep learning training and inference pipelines on GPU and CPU architectures;\nImplement CUDA-based performance optimizations for machine learning workloads;\nImprove systems-level performance across machine learning frameworks;\nDeveloping and deploying large-scale machine learning systems; and\nUtilizing Big data framework using MySQL, Spark, Hadoop, or Flink.\nType: Full time, 40 hours/week\nLocation: San Jose, CA\nSalary Range: $187741 - $316800 per year\nTo Apply, click the apply button below. Contact  if you have difficulty submitting resume through the website.\nByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.\nByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request","description_format":"text","description_chars":4320,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Recommendation Systems","Digital Media","Video & Photo Sharing"],"lifecycle":[{"event":"open","at":"2026-09-25T23:50:52Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.361,"p_room":0.36,"age_days":46,"expected_fill_days":26,"reasons":["conf:42","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":316800,"is_top_pay":true},"html_url":"https://alion.io/job/bytedance-machine-learning-engineer-aml-engine-multiple-positions","json_url":"https://alion.io/job/bytedance-machine-learning-engineer-aml-engine-multiple-positions.json","meta":{"generated_at":"2026-09-28T22:07:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":106,"day_limit":5000,"remaining_today":4894,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}