Senior Machine Learning Engineer, Mendel.ai
$170-230k
Office located in San Jose, CA
AI-driven oncology research
Open for applications
AI-driven oncology research
21-100 employees
Open for applications
$170-230k
Office located in San Jose, CA
21-100 employees
Company mission
To use AI aided by clinical experts to streamline global oncology research by organizing real world data and automating clinical trials.
Role
Who you are
- Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or a related field
- Minimum of 5 years of experience in building AI/ML training and inference pipelines using MLFlow, Kubeflow in GCP, AWS and/or Azure
- Proven experience in developing and deploying machine learning models
- Proficiency in programming languages such as Python, R, or Java
- Proven experience in ML, AI Algorithms, model tuning and optimization
- Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn)
- Experience with data preprocessing, feature engineering, and model evaluation techniques
- Proficiency in cloud infrastructure is a plus
- Familiarity with healthcare data and clinical expertise is a plus
- Excellent problem-solving skills and attention to detail
- Ability to work collaboratively in a fast-paced, multidisciplinary environment
- Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders
What the job involves
- As a Senior Machine Learning Engineer, you will be a key member of our data team responsible for designing, building, and maintaining ML pipelines and services
- Your primary focus will be on developing and optimizing ML training and inference pipelines, ensuring the availability, reliability, and accessibility to amplify the AI practitioner productivity and optimize the cycle time
- You will work closely with product engineers, data scientists, analysts, and other stakeholders to support data-driven decision-making and business intelligence
- Design, develop, and deploy machine learning models into production
- Build robust ML training and inference pipelines using MLFlow and Kubeflow
- Work closely with the data science team to implement their algorithms at scale
- Ensure the performance, quality, and responsiveness of the models
- Collaborate with cross-functional teams to define, design, and ship new features
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency
Our take
Mendel is a company of physicians and engineers, that improves medical research by adding huge swathes of previously untapped data into the clinical research process with extreme efficiency, transforming unstructured EMR data and clinical literature into comprehensive, compliant analytics-ready data.
The company distinguishes itself from other companies tackling the same problem in areas like law and finance by concentrating on medicine. The company has an AI knowledge base specifically in the area of medicine and a strategic partnership with eFax which will digitize eFaxes, still in use by 90% of the industry. Competition comes from DeepMind, a generalist in the space, covering all industries.
Rival DeepMind lost traction in the past with the UK NHS, as they were found to violate data-privacy laws. Mendel’s navigation of data-privacy regulations is strong, as it is able to de-identify personal health information, with an over 99% accuracy rate. The company has raised impressive funding and is well set to see continued growth.
Steph
Company Specialist
Insights
63% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2022
$40m
SERIES B
Jun 2021
$18m
SERIES A
Total funding: $65.4m
Company benefits
- Flexible Spending Account (FSA)
- Dependent Care FSA
- Health Savings Account (HSA)
- Long-Term Disability
- Life Insurance
- 401k
- Maternity + Paternity Leave
- Work from home opportunities
- Health insurance
Company HQ
Downtown San Jose, San Jose, CA
Articles
Leadership
Wael Salloum, Ph.D
(CSO)Studied Computer Science at Columbia. Has worked at various universities, including as a Project Supervisor at the University of Damascus. Co-founded Lifeboon.com, and MedTools.com, where he also served as CTO. Was a Senior Research Scientist at EMR.AI.
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