{"id":67811,"url":"https://alion.io/job/adapter-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":36250,"name":"Adapter","domain":"adapter.com","url":"https://alion.io/company/adapter","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2025-01-22T21:07:09Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-10-16T21:33:10Z","board_verified":true,"closed_at":null,"days_open":632,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":631},"description":"Our story:\nThe widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world. \nAdapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.\nWhat we are looking for:\nWe are looking for a Machine Learning Engineer who will play a critical role in fine-tuning transformer-based models using automation pipelines and implementing real-time fine-tuning pipelines in production environments.\nYou will partner with a brilliant team of designers, engineers, and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies. \nWe have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed between Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.\nResponsibilities: \nUse the latest cutting edge technologies such as LLMS, multimodal models to handle complex problems.\nWork with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.\nBuild frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).\nDeploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.\nMonitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.\nCollaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.\nResearch and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.\nQualifications: \nExperience with optimizing models for size, cost, and latency is a plus.\nProficient in designing, developing, and operating fine-tuning pipelines in production environments\nExperience with large-scale data processing and distributed systems\nStrong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, Tensorflow etc.\nWork Experience: \n3+ years of experience in similar role, focus on developing and deploying ML models in production environments \nStartup experience is a plus\nBenefits: \nEarly stage equity\nComprehensive health insurance\nGenerous PTO\nRemote and in person cultures that promote collaboration\nFull compensation packages are based on candidate experience and certifications.\nUnited States - 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