{"id":457477,"url":"https://alion.io/job/ritual-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":175829,"name":"Ritual","domain":"ritual.net","url":"https://alion.io/company/ritual-4","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":40,"open_postings":14,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":300000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLIR","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ROCm","optional":false},{"name":"Smart Contracts","optional":false},{"name":"TensorFlow","optional":false},{"name":"Triton","optional":false}],"status":"live","first_seen_at":"2023-11-07T14:14:58Z","employer_posted_date":"2024-07-24","last_verified_at":"2026-10-31T00:41:13Z","board_verified":true,"closed_at":null,"days_open":1088,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1086},"description":"About Ritual \nRitual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.\nAbout the role\nWe are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products. \nScale up model inference and running predictions at scale on cutting-edge models\nWork end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications) \nDesigning and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle \nCollaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products \nAbout you\nExperience as a software engineer\nExperience building and serving machine learning models\nFamiliarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFace\nAbility to reason through machine learning system tradeoffs \nA high level of end-to-end ownership and self-direction\nExtras\nFamiliarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc\nFamiliarity with DataOps, MLOps, and ML orchestration pipelines \nUnderstanding of modern ML architectures and intuition for inference performance tradeoffs\nExperience or interest in working on open-source ML products\nInterest in building tech aligned with user privacy, computational integrity, and/or censorship resistance\nExperience at fast-growing companies or startups\nWhy join us \nJoin a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure \nHighly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups\nTop 1% of benefits across the web3 startup space\n100% of premiums covered on highest quality healthcare \nAggressive company 401k match\nFully remote 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