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Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Mendel.ai

Mendel.ai

51-200 employees

AI-driven clinical data analysis for oncology

Data & Analytics
Hardware
AI & Machine Learning
Biotechnology
Healthcare

Compensation Overview

$170k - $230kAnnually

Senior, Expert

San Jose, CA, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Data Science
Tensorflow
R
Data Structures & Algorithms
Pytorch
Java
AWS
Google Cloud Platform
Requirements
  • 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.
Responsibilities
  • 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.

Mendel.ai enhances clinical data analysis in healthcare, particularly in oncology research and clinical trials, by using artificial intelligence to analyze large datasets like electronic medical records and genetic information. This technology helps identify suitable cancer patients for clinical trials more quickly and efficiently than traditional methods. Unlike competitors, Mendel.ai specializes in real-world evidence and data, catering to a diverse range of clients including researchers and pharmaceutical companies. The company's goal is to improve the efficiency and accuracy of clinical trials, ultimately leading to better patient outcomes.

Company Stage

Series B

Total Funding

$80.4M

Headquarters

San Jose, California

Founded

2017

Growth & Insights
Headcount

6 month growth

14%

1 year growth

67%

2 year growth

184%
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Simplify's Take

What believers are saying

  • The recent $40M Series B funding round positions Mendel.ai for significant growth and product expansion.
  • The launch of Hypercube, an AI-copilot for real-world data applications, showcases Mendel.ai's commitment to innovation and staying ahead in the market.
  • New executive hires with extensive experience in real-world evidence companies will likely drive strategic expansion and enhance product offerings.

What critics are saying

  • The highly competitive AI healthcare market could pressure Mendel.ai to continuously innovate to maintain its edge.
  • Integration of new executive hires may pose challenges in aligning with the existing company culture and strategy.

What makes Mendel.ai unique

  • Mendel.ai leverages AI to specifically target oncology research and clinical trials, setting it apart from broader healthcare AI applications.
  • Their AI search engine's ability to analyze over 50,000 scholarly articles in seconds provides a unique value proposition in the healthcare sector.
  • Mendel.ai's focus on real-world evidence (RWE) and real-world data (RWD) in clinical settings distinguishes it from competitors who may not specialize in these areas.