Senior Machine Learning Engineer

Job not on LinkedIn

August 15

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+17 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌪️ Kansas – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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SmithRx

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Healthcare Insurance • SaaS • B2B

SmithRx is a transparent, pass-through pharmacy benefits manager (PBM) that operates independently from insurance companies and pharmacies to align its incentives with self-insured employers and their members. By leveraging modern technology, SmithRx aims to reduce the cost and complexity of pharmacy benefits, ensuring the delivery of effective and low-cost drugs. The company is dedicated to transforming the pharmacy benefits landscape through its flat-rate, transparent pricing model and innovative cost savings programs, which connect members to the lowest cost drugs without the use of spread pricing, rebates, or other tactics. SmithRx's commitment to transparency and superior customer service results in significant savings for employers and a highly satisfactory experience for its members.

51 - 200 employees

Founded 2018

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $20M Series B on 2022-03

📋 Description

• 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. • We are seeking an experienced Data Scientist with expertise in a broad range of machine learning technologies as we continue to expand. • In this key role, you will leverage our rich data set to drive and implement a wide variety of ML-powered solutions. • The position requires at least 5 years of experience in machine learning/AI development, with proven success leading impactful ML initiatives. • You will work with cross-functional leaders to deliver impactful AI solutions that directly influence our business outcomes. • As a member of the SmithRx Platform Engineering and AI team, you will work customer facing as well as internal tooling that leverages AI to improve productivity and quality. • You will work directly with software engineers, data engineers, product managers, and subject matter experts in the definition of new generative AI capabilities able to provide our members and internal organizations with the information they need to make proper decisions. • Qualified candidates will have an in-depth knowledge of the most common machine learning algorithms and techniques, know how to train and fine-tune ML models, and design and implement ML-powered systems and tools at scale. • Responsibilities • Design and implement end-to-end ML solutions across a variety of high-impact domains, including anomaly detection, claims optimization, and eligibility validation. • Collaborate with software and data engineering teams to productionize ML models and integrate them into core business workflows. • Leverage the rich data in claims to uncover new, innovative ML use cases that drive business value, improve decision-making, or optimize operations. • Identify and prototype use cases for GenAI that could enhance customer experience, increase automation, or improve transparency in decision-making. • Contribute to building a scalable ML infrastructure and help establish best practices in model development, evaluation, and monitoring. • Act as a thought partner on emerging ML/AI capabilities, including GenAI, and support the team in evaluating their applicability to PBM challenges. • What you will bring to SmithRx: • 5+ years of experience in data science, machine learning/AI development, with proven success leading impactful initiatives • MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields. • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). • Strong mathematical background (linear algebra, calculus, probability, and statistics). • Proficiency in Python and object-oriented programming. • Working knowledge of MLOps to build and roll out models to production with incremental improvements. • Strong experience working with a broad range of machine learning techniques and tools. • Strong experience with retrieval methods e.g. using embeddings. • Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. • Ability to drive a project and work both independently and within a cross-functional team. • Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience. • Experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch and MLInfra tools like (SageMaker, Bedrock or alike) • Strong understanding of data analysis, statistical modeling, different types of anomaly and fraud detection algorithms. • Experience with time series analysis and multivariate time series modeling. • What SmithRx Offers You: • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance • Flexible Spending Benefits • 401(k) Retirement Savings Program • Short-term and long-term disability • Discretionary Paid Time Off • 12 Paid Holidays • Wellness Benefits • Commuter Benefits • Paid Parental Leave benefits • Employee Assistance Program (EAP) • Well-stocked kitchen in office locations • Professional development and training opportunities

🎯 Requirements

• 5+ years of experience in data science, machine learning/AI development, with proven success leading impactful initiatives • MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields. • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). • Strong mathematical background (linear algebra, calculus, probability, and statistics). • Proficiency in Python and object-oriented programming. • Working knowledge of MLOps to build and roll out models to production with incremental improvements. • Strong experience working with a broad range of machine learning techniques and tools. • Strong experience with retrieval methods e.g. using embeddings. • Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. • Ability to drive a project and work both independently and within a cross-functional team. • Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience. • Experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch and MLInfra tools like (SageMaker, Bedrock or alike) • Strong understanding of data analysis, statistical modeling, different types of anomaly and fraud detection algorithms. • Experience with time series analysis and multivariate time series modeling.

🏖️ Benefits

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance • Flexible Spending Benefits • 401(k) Retirement Savings Program • Short-term and long-term disability • Discretionary Paid Time Off • 12 Paid Holidays • Wellness Benefits • Commuter Benefits • Paid Parental Leave benefits • Employee Assistance Program (EAP) • Well-stocked kitchen in office locations • Professional development and training opportunities