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
- We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team
- In this role, you will design, develop, and deploy machine learning models, including LLM, that enhance our AI-powered clinical intelligence platform
- You will work closely with researchers, engineers, and clinical experts to create innovative solutions that drive our mission forward
- Develop and implement scalable and reliable AI and machine learning models and algorithms
- Enable the research and AI development to accelerate overall product development
- Design and build Services, Tools, and Platforms to support the growth
- Collaborate with Eng, AI, and clinical experts to understand the intricacies of healthcare data and refine model performance
- Design and execute experiments to test the efficacy of new models and algorithms
- Deploy and maintain machine learning and AI models in a production environment, ensuring scalability and reliability
- Continuously monitor and optimize the performance of deployed models
- Stay updated with the latest advancements in machine learning and AI, and incorporate new techniques and tools as appropriate
- Participate in code reviews and contribute to developing best practices for machine learning at Mendel
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 at Welcome to the Jungle
Insights
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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