{"id":2134384,"url":"https://alion.io/job/apple-mlops-engineer","title":"MLops Engineer","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"B","score":77,"open_postings":1008,"ghost_share":0,"stale_share":0.938,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herzliya, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"SLURM","optional":false},{"name":"TensorFlow","optional":false},{"name":"Speech Recognition","optional":true},{"name":"Text-to-Speech","optional":true}],"status":"live","first_seen_at":"2026-06-01T11:34:41Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T08:41:18Z","board_verified":true,"closed_at":null,"days_open":135,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":134},"description":"Play a part in shaping the future of human-computer interaction. As an MLOps Engineer, you will be the backbone of the machine learning infrastructure that powers our speech, audio, and conversational AI teams - ensuring their models are trained on the best possible data.\nYou will bridge the gap between research, data science, and engineering, owning the full ML lifecycle from large-scale data pipelines and distributed GPU training through to low-latency, high-fidelity inference and optimization. You'll partner closely with Audio ML Engineers, Speech ML Engineers, and ML Data Scientists to remove friction across their workflows and accelerate the path from research to product.\nDescription\nThe MLOps Engineer will drive end-to-end quality and operational excellence across data ingestion, model training, deployment pipelines, and MLOps tooling for our speech and audio ML platforms. This hire will build, deploy, and optimize production-grade systems with a strong emphasis on scalable, GPU-accelerated infrastructure. You will own the training infrastructure that powers distributed and self-supervised model training on HPC and Slurm-managed clusters, as well as the inference pipelines that bring low-latency, high-fidelity audio and speech models to production. You will establish standard methodologies for model integration, deployment, monitoring, and reproducibility using CI/CD principles.\nMinimum Qualifications\n3 years in software engineering with demonstrated experience in large-scale software system design and implementation\nBachelor's Degree in Software Engineering, Computer Science, Electrical Engineering, Statistics, Machine Learning, Operations Research, or a related field\nProven track record of shipping and maintaining production-grade ML systems end-to-end\nHands-on experience with GPU-based model training and inference, including distributed/multi-node training\nExperience operating workloads on HPC environments and job schedulers such as Slurm\nProficiency in Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX\nPreferred Qualifications\nExperience supporting speech and audio ML pipelines (e.g., ASR, TTS, speaker recognition, voice isolation, generative speech) and large-scale audio data processing\nExperience with infrastructure for self-supervised and large-model training\nDeep familiarity with GPU performance tuning, mixed-precision training, and distributed training frameworks\nFamiliarity with data quality frameworks, model monitoring, drift detection, and observability practices in production\nExperience optimizing models for on-device or Apple silicon inference","description_format":"text","description_chars":2647,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-10-09T01:28:51Z"},{"event":"close","at":"2026-10-09T01:39:59Z"},{"event":"reopen","at":"2026-10-09T06:17:28Z"},{"event":"close","at":"2026-10-11T12:23:15Z"},{"event":"reopen","at":"2026-10-11T15:08:15Z"},{"event":"close","at":"2026-10-11T23:11:48Z"},{"event":"reopen","at":"2026-10-12T02:31:52Z"},{"event":"close","at":"2026-10-12T11:04:10Z"},{"event":"reopen","at":"2026-10-12T17:08:32Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.225,"p_room":0.28,"age_days":134,"expected_fill_days":40,"reasons":["conf:3","stale_co","urgency","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/apple-mlops-engineer","json_url":"https://alion.io/job/apple-mlops-engineer.json","meta":{"generated_at":"2026-10-14T12:00:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14515,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":12},"rest":"https://alion.io/mcp/rest/get_company?id=12"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapple-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fapple-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fapple-mlops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/apple-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-mlops-engineer"}]}