{"id":68767,"url":"https://alion.io/job/orchard-robotics-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":27467,"name":"Orchard","domain":"orchard-robotics.com","url":"https://alion.io/company/orchard","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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 Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":265000,"currency":"USD","period":"year","gross":null,"usd_annual":265000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-03-14T07:48:55Z","employer_posted_date":"2026-03-14","last_verified_at":"2026-11-08T05:15:55Z","board_verified":true,"closed_at":null,"days_open":239,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":239},"description":"At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst.\nEvery year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that.\nOur AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field.\nToday, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before.\nOur Culture:\nUnshakeable Resilience - Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes.\n\nAlways Keep Moving - We move fast, waste no time, and have an extreme bias towards action. Progress compounds every day, and our impact is measured in decades.\n\nImprove Everything - At 1% success, we save millions of pounds of food from going to waste. If we are 100% successful we will impact the lives of billions of people across the world.\n\nFarmers First - Every team member spends at least a few days in the fields with our farmers each month.\n\nNo Job Beneath Us - We’re low ego, own every outcome, and are all working towards the same goal.\n\nThe Role:\nIn order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing.\nWe are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems.\nAbout the role:\nFull-time, 5 days a week, in-person role at our San Francisco, CA office\n\nComprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium\n\nWe move fast, and sometimes this means staying late or working weekends\n\nOur team is close-knit & highly driven, you’ll work directly with our CEO and entire team\n\nWe’re deeply motivated by the impact we’re making - every line of code written or new system built means less food that goes to waste, and more people who are fed.\n\nWhat you’ll do:\nBuild and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.\n\nStay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.\n\nDevelop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices.\n\nDesign and implement intelligent active sampling infrastructure to optimize data collection and improve model performance.\n\nCollaborate with a multidisciplinary team to integrate ML solutions into production robotics systems.\n\nWork closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features.\n\nBe a generalist, supporting different parts of our software stack as needed.\n\nWhat makes you a good fit:\n5+ years of experience building production-grade data pipelines and ML infrastructure.\n\nProficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).\n\nStrong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark).\n\nFamiliarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).\n\nExperience working with massive amounts of real-world training data.\n\nFamiliarity with MLops software and data engineering to ensure consistent deployment of ML models.\n\nAbility to work independently, learn quickly, and operate in a dynamic environment\n\nEnthusiasm for taking on multiple roles and responsibilities as our company grows.\n\nBonus Points:\nExperience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson\n\nExperience prototyping, evaluating, or deploying new ML/CV models on the edge.\n\nIf you're looking to help make a positive impact in the world by building the future of farming, come join us!","description_format":"text","description_chars":4802,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AgTech","Agriculture AI"],"lifecycle":[{"event":"open","at":"2026-03-14T07:48:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 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