Senior Engineer, Machine Learning
Element Biosciences · San Diego - Headquarters
Posted about 3 months ago · $139,000 - $183,000
or apply directly on Element Biosciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Element Biosciences's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 83% of Element Biosciences's roles list one
- Ghost-job risk at Element Biosciences
- high 18 stale, 0 reposted of 18 open
- Hiring momentum
- 27 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-25
Measured from postings appearing on and disappearing from Element Biosciences's own greenhouse board since 2026-08-03. Full hiring picture for Element Biosciences.
About this role
The Senior Engineer I, AI/Data Science role at Element Biosciences involves developing and implementing deep learning models for biological image analysis and classification. The position requires collaboration with cross-functional teams to support research and development efforts, as well as analyzing multiomic and single-cell data. The role is onsite in San Diego and includes responsibilities such as model deployment, data processing, and communicating findings to stakeholders.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Element Biosciences as an employer.
What you need
- PhD with 0–3 years of experience or a Master's degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field with 2–4 years of relevant experience
- Experience developing deep learning models for image analysis
- Proficiency with deep learning architectures including CNNs, Vision Transformers, U-Net, or attention-based models
- Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas
- Strong background in statistics and comfort reasoning about model outputs quantitatively
- Excellent problem-solving skills, attention to detail, and ability to work across scientific and engineering disciplines
Nice to have
- Exposure to production or deployment environments (cloud-hosted or on-instrument)
- Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging)
- Familiarity with cloud computing platforms (e.g., AWS)
- Proficiency in working with multiomic and single-cell data
- Familiarity with bioinformatics and computational biology tools and databases
What you get
- Base compensation pay range of $127,000 - $155,000
- Eligible for stock options
- Discretionary annual bonus
- No cost health insurance plans
- 401k with company match
- Flexible paid time off
Worth weighing
- Onsite role in San Diego
- No salary listed beyond the range provided
- Travel requirement of up to 10%
- Base compensation depends on multiple factors, including geographic location, qualifications, and experience
Summarised from Element Biosciences's posting. Read the full original.
Listed by Element Biosciences on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.
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