{"id":797049,"url":"https://alion.io/job/raspberry-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":688299,"name":"Raspberry AI","domain":"raspberry.ai","url":"https://alion.io/company/raspberry-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":78,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","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":164000,"max_usd":312000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Diffusion Models","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2025-08-17T20:30:52Z","employer_posted_date":"2025-08-17","last_verified_at":"2026-10-28T19:36:20Z","board_verified":true,"closed_at":null,"days_open":437,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":436},"description":"Raspberry AI\nRaspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.\nWe are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft.\nAbout the Role\nThis is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain.\nAdditional responsibilities may be assigned as business needs evolve.\nResponsibilities\nConduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques.\n\nImplement and evaluate novel techniques for improving quality and controllability in generated designs.\n\nAnalyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively.\n\nCollaborate closely with the team to translate prototypes into production-ready systems.\n\nStay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.\n\nRequirements\nMaster's or Ph.D. in Computer Science, Machine Learning, or a related field. 3+ years of industry experience.\n\nStrong theoretical and practical understanding of deep learning, with 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