Senior Machine Learning Engineer, Mendel.ai

$170-230k

AWS

GCP

Python

Java

Tensorflow

Azure

Scikit-Learn

Kubeflow

PyTorch

Senior level

San Francisco Bay Area

Office located in San Jose, CA

AI-driven oncology research

Open for applications

AI-driven oncology research

101-200 employees

HealthcareB2BArtificial IntelligenceAnalyticsSaaSData Analysis

Open for applications

$170-230k

AWS

GCP

Python

Java

Tensorflow

Azure

Scikit-Learn

Kubeflow

PyTorch

Senior level

San Francisco Bay Area

Office located in San Jose, CA

101-200 employees

HealthcareB2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To use AI aided by clinical experts to streamline global oncology research by organizing real world data and automating clinical trials.

Job

Company

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. It works by transforming unstructured EMR data and clinical literature into comprehensive, compliant analytics-ready data.

Targeting medicine directly is what enables the company to stand out, alongside its smart navigation of data-privacy regulations. Mendel is able to de-identify personal health information with an over 99% accuracy rate - making a great option rivals such as DeepMind who lost traction due to privacy violations.

With impressive funding at its back, Mendel can be expected to pursue further growth in the coming years. In 2024 it made its platform available through both Google Cloud Marketplace and Microsoft Azure Marketplace, which should support a broader reach for the company.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

63% employee growth in 12 months

Glassdoor (3.7)

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

Leadership

Wael Salloum, PhD

(Founder & Chief Science Officer)

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, and was a Senior Research Scientist at EMR.AI.

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