Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!

The ideal machine learning engineer candidate is a highly motivated individual with a strong foundation in computer science and a focus on machine learning. They possess a deep understanding of algorithms, data structures, and software engineering principles. This candidate is skilled in developing and deploying machine learning models, with expertise in frameworks like TensorFlow, PyTorch, or scikit-learn. They are capable of optimizing and fine-tuning models for performance and scalability, and they exhibit effective problem-solving abilities and a collaborative mindset to work seamlessly with cross-functional teams.

The work you will do:

Become a part of an accomplished team dedicated to crafting ML solutions for intricate healthcare challenges
Work closely with data scientists, engineers, and technical teams to enhance the delivery of ML systems
Monitor model performance, suggest remedies, and ensure comprehensive code coverage
Stay informed about the latest ML advancements, techniques, open-source tools, and cloud offerings
Play a role in complete AI/ML projects, steering successful business outcomes and transitioning models to production
Lead the design and implementation of the MLOps framework, while spearheading pipeline construction
Utilize contemporary software engineering methods to create and implement scalable AI/ML systems
Customize API integrations to connect cloud-based systems seamlessly
Engage in discussions about architecting compliant and high-performance ML platforms
Champion MLOps proficiency, providing education and training to technical teams

The skills and qualifications you need:

Bachelor's degree in fields including Computer Science, Data Analytics, Software/Computer Engineering, Computational Statistics, Mathematics, or related disciplines
2+ years of MLOps experience, concentrating on deploying, monitoring, detecting drift, re-training, and roll-back of ML solutions
3+ years of experience in machine learning, crafting models to achieve desired outcomes and producing code for production
5+ years of experience with Database Management Systems, Data Lakes, and cloud-based ML Ecosystems such as Spark or Databricks
Excel in preventing ML-system anti-patterns and reducing dependencies during design and execution
Display strong abilities in critical thinking and analysis
Exhibit a passion for pioneering ML solutions within a business environment
Possess expertise in constructing resilient systems for active learning and continuous training in production
Demonstrate a proven skillset in scripting and database languages like Python, SQL, and Scala
Assume hands-on roles in the deployment of machine learning and deep learning solutions, utilizing contemporary frameworks like Spark, MXNet, Tensorflow, Keras, and PyTorch

Our mission is to reinvent healthcare to help patients live their best lives, and we proudly live our mission-driven values:

We care deeply about the people we serve
We are better when we work together
Humility is a source of our strength
We bring joy to our work

We are committed to diversity, equity, and inclusion throughout our recruiting practices. Everyone is welcome and included. We value our differences and learn from each other. Our team members come in all shapes, colors, and sizes. No matter how you identify your lifestyle, creed, or fandom, we value everyone's unique journey.

Oh, and one more thing … a recent study shows that men apply for a job or promotion when they meet only 60% of the qualifications, but women and other marginalized groups apply only if they meet 100% of them. So, if you think you’d be a great fit, but don’t necessarily meet every single requirement on one of our job openings, please still apply. We’d love to consider your application!

Come join us and help our patients live their best lives. Learn more at www.interwellhealth.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

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Machine Learning Engineer