{"id":823712,"url":"https://alion.io/job/elementbiosciences-senior-engineer-machine-learning","title":"Senior Engineer I, AI/Data Science","company":{"id":673399,"name":"Element Biosciences","domain":"elementbiosciences.com","url":"https://alion.io/company/elementbiosciences","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0.25,"time_to_fill_p50_days":47,"computed_at":"2026-11-05T05:54:30Z"}},"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 Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":127000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Torchvision","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-05-01T22:01:59Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-05T09:45:14Z","board_verified":true,"closed_at":null,"days_open":187,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":187},"description":"At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.\nWe are seeking a highly skilled and motivated Senior Engineer, AI/Data Science to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying image processing techniques to support our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego.\nIf you possess the following and want to make a meaningful impact, we invite you to explore this role.\nEssential Functions and Responsibilities:\nDevelop and implement deep learning models (CNNs, Vision Transformers, U-Net variants, and related architectures) for biological image analysis and classification, under the guidance of senior team members\nSupport deployment and maintenance of neural network models on cloud infrastructure (e.g., AWS) or directly on imaging instruments\nApply image processing and computer vision techniques to analyze multimodal biological images, including segmentation, feature extraction, and quality scoring\nContribute to end-to-end ML pipelines - from data ingestion and preprocessing through model training, validation, and inference\nAnalyze and interpret single-cell and multiomic data to support biological context and downstream interpretation of imaging results\nCollaborate with cross-functional teams including biology, software engineering, and instrumentation to support experiment design and translate biological requirements into modeling objectives\nExplore and analyze imaging datasets to identify patterns, failure modes, and opportunities for model improvement\nCommunicate findings and model performance metrics to stakeholders through reports and presentations\nPartner with molecular biology, chemistry, and data-engineering teams to validate findings\nStay current with the latest advancements in deep learning, computer vision, and computational biology, and evaluate their applicability to internal research problems\nEducation and Experience:\nPhD with 0-3 years of experience is strongly preferred or a minimum of Master’s degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field with 2-4 years of relevant experience\nExperience developing deep learning models for image analysis is required; exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus\nProficiency with deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, or attention-based models\nExperience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is a plus\nProficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools\nFamiliarity with cloud computing platforms (e.g., AWS) is a plus\nProficiency in working with multiomic and single-cell data is a plus\nFamiliarity with bioinformatics and computational biology tools and databases is a plus\nKnowledge of experimental design and statistical analysis\nStrong background in statistics and comfort reasoning about model outputs quantitatively\nExcellent problem-solving skills, attention to detail, and ability to work across scientific and engineering disciplines\nPhysical Requirements:\nFrequently moves boxes weighing up to 20 pounds\nLocation:\nSan Diego - on-site\nTravel: \nDomestic travel up to 10%\nJob Type:\nFull-time/Exempt\nBase Compensation Pay Range:\n$127,000 - $155,000\n\nIn addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. \nPlease note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. \nWe foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by 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