Machine Learning Engineer (Contractor)

Key Skills

Algorithms, AWS, Azure, Docker, Machine learning techniques, Python Programming, Snowflake, SQL

Job Description

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.

Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams.

Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers.

Why is Arine a Great Place to Work?:

Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually.

Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market.

Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence.

Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care.

The Role:

The Data Science team works very collaboratively and cross-functionally with an experienced team of in-house clinicians, health economics and outcomes researchers, engineers, and digital health entrepreneurs. The Machine Learning Engineer will be responsible for productionizing and deploying Machine Learning (ML) models to support Arine's mission to improve patient outcomes and lower costs of healthcare at scale. This is a 6-month contract role, with the potential to grow into full-time, and an amazing opportunity to shape all aspects of the ML infrastructure collaboratively with the Data Science team.

What You’ll be Doing:

• Productionize and integrate developed algorithms in our automated production flows
• Contribute to our production ML infrastructure and relevant software, including distributed training, automation, data management, and evaluation of production systems
• Drive robust testing strategies
• Basic understanding of ML techniques (using healthcare data is a plus)
• Design and integrate monitoring into our ML infrastructure so the Data Science team can identify changes to our algorithms’ performance and/or in the raw data
• Contribute to code reviews within the Data Science team

Our Ideal Candidate Possesses:

• Bachelor's degree in Computer Science, Engineering, or related field
• Meaningful experience (2+ years) working with the relevant toolset: Python, SQL (Snowflake), cloud development and deployment services (AWS, Docker)
• Experience working cross-functionally to define project objectives and deliver, communicate results
• Demonstrated ability to exercise good judgment and problem solve under tight deadlines and resource constraints
• Ability to work a minimum 30 hours/week (up to 40 hours/week) for at least 6+ months

Remote Work Requirements:

• An established private work area that ensures information privacy

• A stable high-speed internet connection for remote work

Perks:

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

The posted range represents the expected hourly rate for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The hourly pay rate for this position is: $25-35/hour.

Job Requirements:

Ability to pass a background check

Must live in and be eligible to work in the United States

Information Security Roles and Responsibilities:

All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.

Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.