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Senior Engineer I, AI/Data Science

Pay
$127,000–155,000/year · BaseAnnual period assumed — pay source
Base Compensation Pay Range: $127,000 - $155,000 In 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.
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Work setting
Not stated
Employment
Full-time — employment source
Job Type: Full-time/Exempt Base Compensation Pay Range:
Employment type in the employer’s posting: Regular Full Time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

  • Experience developing deep learning models for image analysis is required; exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus
  • Proficiency with deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, or attention-based models
  • Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools
  • Knowledge of experimental design and statistical analysis

Preferred experience

  • Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is a plus
  • Familiarity with cloud computing platforms (e.g., AWS) is a plus
  • Proficiency in working with multiomic and single-cell data is a plus
  • Familiarity with bioinformatics and computational biology tools and databases is a plus
Qualification wording
Experience developing deep learning models for image analysis is required; exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus
Proficiency with deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, or attention-based models
Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools
Knowledge of experimental design and statistical analysis
Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is a plus
Familiarity with cloud computing platforms (e.g., AWS) is a plus
Proficiency in working with multiomic and single-cell data is a plus
Familiarity with bioinformatics and computational biology tools and databases is a plus
Education & alternatives
Education and Experience: - PhD 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 - Experience developing deep learning models for image analysis is required; exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus
Apply at Element Biosciences

Posting record

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Open 6 monthsWe first saw this posting 186 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 2, 2026186 days ago
Recorded sightings
102
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$127K–$155K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 186

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,381 similar postings that came down. Coming down is not always a hire.

Element Biosciences is hiring

1 open job

  • No new data jobs since May
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • NumPy
  • pandas
  • PyTorch
  • scikit-learn
Where the posting names them
- Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is a plus - Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools - Familiarity with cloud computing platforms (e.g., AWS) is a plus
- Develop 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 - Support deployment and maintenance of neural network models on cloud infrastructure (e.g., AWS) or directly on imaging instruments - Apply image processing and computer vision techniques to analyze multimodal biological images, including segmentation, feature extraction, and quality scoring
- Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools - Familiarity with cloud computing platforms (e.g., AWS) is a plus - Proficiency in working with multiomic and single-cell data is a plus

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

We 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.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

  • Develop 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
  • Support deployment and maintenance of neural network models on cloud infrastructure (e.g., AWS) or directly on imaging instruments
  • Apply image processing and computer vision techniques to analyze multimodal biological images, including segmentation, feature extraction, and quality scoring
  • Contribute to end-to-end ML pipelines — from data ingestion and preprocessing through model training, validation, and inference
  • Analyze and interpret single-cell and multiomic data to support biological context and downstream interpretation of imaging results
  • Collaborate with cross-functional teams including biology, software engineering, and instrumentation to support experiment design and translate biological requirements into modeling objectives
  • Explore and analyze imaging datasets to identify patterns, failure modes, and opportunities for model improvement
  • Communicate findings and model performance metrics to stakeholders through reports and presentations
  • Partner with molecular biology, chemistry, and data-engineering teams to validate findings
  • Stay current with the latest advancements in deep learning, computer vision, and computational biology, and evaluate their applicability to internal research problems

Education and Experience:

  • PhD 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
  • Experience developing deep learning models for image analysis is required; exposure to production or deployment environments (cloud-hosted or on-instrument) is a plus
  • Proficiency with deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, or attention-based models
  • Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is a plus
  • Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools
  • Familiarity with cloud computing platforms (e.g., AWS) is a plus
  • Proficiency in working with multiomic and single-cell data is a plus
  • Familiarity with bioinformatics and computational biology tools and databases is a plus
  • Knowledge of experimental design and statistical analysis
  • 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

Physical Requirements:

  • Frequently moves boxes weighing up to 20 pounds

Location:

  • San Diego – on-site

Travel: 

  • Domestic travel up to 10%

Job Type:

  • Full-time/Exempt

Base Compensation Pay Range:

  • $127,000 - $155,000



 

In 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. 

 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

 

We 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 law.

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Pay
Base Compensation Pay Range: $127,000 - $155,000 In 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.
Location & working pattern

San Diego - Headquarters

Location: - San Diego – on-site Travel:
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