Principal Machine Learning Engineer, SmithRx
Next-generation pharmacy benefits
Open for applications
Next-generation pharmacy benefits
201-500 employees
Open for applications
201-500 employees
Company mission
To reduce the complexity and costs of pharmacy benefits with a cleaner business approach and the industry’s most advanced and flexible technology platform.
Role
Who you are
- A minimum of 5 years of experience in machine learning (ML) development, with proven success in leading ML initiatives, is required
- BS, MS, or PhD in Computer Science, Information Systems, or a related field, with 12+ years of experience in data engineering, data science, or a similar role
- Strong expertise in data architecture, database design, and optimization, with experience in OLTP, OLAP, NoSQL, and cloud-based data warehouses (e.g., AWS Snowflake, PostgresDB, DymanoDB, etc )
- Proficiency in programming languages such as Python, and SQL, and tools like Spark, PySpark, Airflow, DBT, Snowflake, Cortext, OpenAI, and Terraform
- Proficiency in machine learning frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch, with hands-on experience in building and deploying machine learning models in production. Track records in developing and deploying ML models, preferably within the healthcare or related industries
- Ability to lead cross-functional teams, influence stakeholders, and manage complex projects in a fast-paced environment
- Strong analytical and problem-solving skills, with the ability to handle evolving requirements and ambiguous challenges
- Excellent communication and presentation skills, capable of conveying complex technical concepts to both technical and non-technical audiences
What the job involves
- SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences
- As we continue to expand, we are seeking an experienced Principal Machine Learning engineer with expertise in data engineering and AI/ML
- In this key role, you will take ownership of driving ML innovation and leading the technology strategy for modern data platforms
- You will collaborate with cross-functional leaders to deliver impactful ML/AI solutions that directly influence our business outcomes
- Develop strategies across the entire AI/ML project lifecycle. This includes seamless integration with data platforms, spanning from problem definition and data preparation to model deployment and performance monitoring
- Design, develop, and deploy machine learning models that drive anomaly detection, and predictive insights, leveraging data from our enterprise data warehouse ecosystems
- Build data pipelines and ensure scalable, efficient ML pipelines and workflows for the entire model lifecycle, from problem definition and data preparation to model deployment and monitoring
- Maintain a focus on data quality, security, and compliance in all AI/ML initiatives, particularly within healthcare
- Provide technical leadership, mentoring, and guidance to team members, establishing and enforcing best practices in data engineering and data science
- Collaborate with product managers, data engineers, and engineer leadership to define use cases and integrate AI models and algorithms into existing systems and applications
Application process
- Apply with your resume and cover letter to join the SmithRx team!
Our take
PBMs (Pharmacy Benefit Managers) save payers and patients 40% to 50% on prescription drug and related medical costs in the US, compared to what they would spend without them. It’s generally accepted, though, that PBMs are working for profit and not solely on the customers benefit.
SmithRx is a company looking to reduce complications in the current system with its innovative PBM structure. It uses its cloud-based technology to present the most cost effective options transparently to self-insured businesses, supporting them in getting the lowest cost drugs they can, as well as making the transition to these alternatives seamless.
It does this by partnering with innovative drug companies, as well as applying coupons and making use of available savings and assistance programs. As the company does not take economics from the supply chain, it is able to work for its customers with no hidden agendas. Having recently secured funding, the company is looking towards continued growth as well as pursuing leadership in the sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2024
$60m
SERIES C
Mar 2022
$20m
SERIES B
Total funding: $97.5m
Company benefits
- Comprehensive wellness benefits including Medical, Pharmacy, Dental and Vision. We pay up to 90% for you and your family
- Fully paid life insurance and disability benefits
- Paid Parental Leave benefits
- Professional development, training and career growth opportunities
- Generous paid time off
Company HQ
South Park, San Francisco, CA
Leadership
Jake Frenz
(CEO)Previously worked as Director of Plan Operations at CollectiveHealth and Project Director at Anthem Inc.
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