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Senior Data Platform Engineer



Software Engineering
San Jose, CA, USA
Posted on Monday, December 11, 2023

At Mendel, we harness AI to revolutionize healthcare. Our ambition is to ensure every patient's journey informs healthcare decisions, optimizing treatment plans and promoting drug discoveries. Through comprehensive analysis of patient health records, we aspire to deliver timely and precise care. If you share our zeal for healthcare advancement through technology, let's reshape the future together.

About the Role

We seek a highly skilled and experienced Data Platform Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, building and maintaining AI/ML platforms for scale and resiliency.

You Will

  • Design, develop, and maintain an AI/ML platform to enable the AI to build LLM, Bert, and other models.
  • Build robust ML training and inference pipelines using MLFlow, Kubeflow, Ray, and Spark.
  • 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.

You Have

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degrees are preferred.
  • Minimum of 5 years of experience in building and maintaining AI/ML platforms using Kubernetes, MLFlow, Kubeflow, Ray, and Spark.
  • Strong knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture.
  • Good understanding of machine learning algorithms, processes, tools, and platforms.
  • Experience with cloud services (GCP, AWS, Azure). Cloud-agnostic deployment experience is highly encouraged.
  • Excellent problem-solving skills and ability to work in a team environment.

Nice to Have

  • Experience with startup environments and agile development methodologies.
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • Knowledge of data streaming technologies (e.g., Apache Kafka).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Certification in relevant data engineering technologies.

In this role, you will play a critical part in shaping our data infrastructure and ensuring that data is available, reliable, and ready for analysis. Your expertise in data engineering will contribute to our organization's data-driven decision-making and overall success.


$170,000 - $230,000

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

Why should you join our team:

At Mendel, we believe in the transformative potential of technology. We offer a dynamic and rewarding work environment, competitive compensation, and comprehensive benefits. If you share our passion for innovation and making a difference in healthcare, Mendel could be the place for you. Join us as we work to improve the future of healthcare.

Mendel is a very collaborative environment. You will be taking ownership of your work and collaborate directly with different teams to see it going into production and used by customers. At the same time, you will be mentored by world class AI scientists, software engineers, and clinical and business leaders. Hear from our team here.