Lead Machine Learning Engineer

At Janus, we believe in a world where healthcare functions efficiently. Join us on our mission to improve the lives of administrative workers and fundamentally change the way work is done.

Our team is building a world-class process improvement platform to help healthcare providers generate more cash with fewer resources.

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.

Summary

We are seeking an experienced Lead Machine Learning Engineer to join our team. This role collaborates closely with Data Scientists and other engineering teams to design, implement, and maintain systems that operationalize and scale our data and machine learning pipelines.

Expertise in machine learning operations and cloud infrastructure will be crucial in ensuring the successful deployment and management of our production machine learning systems.

This person will help manage a growing team and provide critical mentorship and guidance to junior team members. If you have a passion for cutting-edge technology, complex problem-solving, and delivering high-quality solutions, this is an exciting opportunity to make a significant impact in our organization.

Responsibilities

• Collaborate with Data Scientists and product teams to understand user stories and convert them into technical requirements for machine learning solutions.
• Manage, mentor, and provide technical guidance to junior team members, promoting knowledge sharing and professional growth.
• Design, build, and deploy production machine learning systems on AWS cloud infrastructure.
• Develop and maintain robust data and machine learning pipelines, ensuring scalability, reliability, and efficiency.
• Implement and optimize monitoring, logging, and alerting systems to ensure the health and performance of deployed machine learning models.
• Work closely with DevOps and infrastructure teams to ensure seamless integration and deployment of machine learning pipelines.
• Automate and streamline the end-to-end machine learning workflow, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Implement best practices for version control, model reproducibility, and model deployment.
• Collaborate with cross-functional teams to identify and address performance bottlenecks, scalability challenges, and data quality issues.
• Continuously evaluate and adopt emerging technologies and tools to improve the efficiency and effectiveness of machine learning operations.

Qualifications

• 5+ years of relevant work experience in ML, including designing, building, and deploying production machine learning systems.
• Strong expertise in deploying machine learning models on AWS cloud infrastructure.
• Proficiency in Python and SQL for data manipulation, analysis, and model development.
• Strong knowledge of Linux, Docker, and Kubernetes for containerization and orchestration of machine learning applications.
• Strong knowledge of PySpark, Airflow, and data pipelines; strong knowledge of Sagemaker and machine learning pipelines.
• Passion for learning and staying updated with the latest advancements in machine learning, MLOps, and cloud technologies.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Bachelor's degree in Computer Science, related field, or equivalent experience.
• Familiarity with Computer Vision, NLP, or Reinforcement Learning is a plus.
• Experience working at a health system or healthcare technology company is preferred.
• Experience working at a software as a service (SaaS) company is preferred.
• Experience working in a high-growth environment is preferred.

We know that potential candidates are often less likely to apply to a position if they don't match 100% of the job qualifications.

Don't let that be why you miss out on this opportunity! We encourage you to apply if you can demonstrate many of these skills and competencies.

Care for the Whole Person

At Janus, our commitment is to provide each employee with what they need to be successful. Our benefits package has been designed in a thoughtful way that allows our employees to be happy, healthy and whole.

Here are a few things we offer :

• We contribute 100% of base plan (HDHP) medical premiums for employees and 50% of premiums for family members. There are other options available as well.
• We contribute 75% of premiums for dental and vision insurance for employee-only plans.
• We have an employee assistance program that allows you the chance to work through any issues that may arise with the appropriate professional.
• We have a 401k plan with minimal portfolio fees, traditional and roth options, as well as rollovers and loan capabilities.
• We offer stock options to share in the value we create and in the ownership of Janus, so let's make it something that we are proud of.
• We offer unlimited PTO because we want our employees to take the time they need to rejuvenate and relax. At minimum, encourage all employees to take at least 15 fully unplugged days off each year.
• We encourage sacred moments that are free from distractions and allow you to create a connection with someone or something that is meaningful to you.
• We provide a monthly allowance to cover the cost related to working in a remote environment like upgraded internet or to offset your cell phone bill.
• We offer parental leave because bonding with your newest addition is so important!
• We have caregiving leave for our employees that are the primary caregiver for a loved one and needs time to care for that person.
• We want you to look for personal enrichment opportunities and will give you up to $500 per year to invest in yourself. We want you to be the best version of you and take time to do things you enjoy!
• We encourage on-going training, additional certifications and professional development related to your role and will review all requests for additional growth (including travel).
• We have committees focused on organizational initiatives to increase employee happiness and the recruitment and retention of a broad, inclusive workforce that represents a diverse range of interests, abilities, talents, and cultures.

You are welcome to join!

We have a benefits summary for you to review and will send more comprehensive information with your offer letter. If you want to review it sooner, just let us know!

Equal Opportunity Statement

Janus is an equal opportunity employer. We hire great people from a wide variety of backgrounds and appreciate our differences.

We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs.

We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Further, consistent with applicable federal and state law, Janus provides reasonable accommodations when requested by qualified applicants or employees with disabilities, unless doing so would cause an undue hardship.

Janus' policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process.

If you require reasonable accommodation, please contact the People team.

E-Verify

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.

S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.

Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.

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