Machine Learning Rust Software Engineer

8 hours ago

Morristown, United States Zelis Full time

The Zelis Data Intelligence (ZDI) Business Unit seeks a talented engineer, fluent in Rust, with experience in Machine Learning related engineering. We are building and maintaining software using Rust to ingest, parse, process, and serve significant datasets, making use of SIMD, Apache Arrow, Apache Data Fusion, Polars, and similar technologies. Rust is also a core component to our ML operations and the ideal candidate has experience in the creation and/or understanding and/or the deployment of ML models and LLMs. We are stewards of complex and significant healthcare data sets, on a mission to boil the complexity to solve big problems. You will contribute to and be responsible for the development and maintenance of lots of microservices, that contribute to the overall system architecture. This requires discipline in writing readable, maintainable code, supported by testing where appropriate. We will prioritize individuals with experience in ML fundamentals and is interested in contributing to the development of an ML platform. We work closely together, wear lots of hats, operate with a high degree of autonomy, and treat others the way we'd like to be treated. Location and Workplace Flexibility: We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies. In this position, you'll be responsible for: Deeply understanding common ML algorithms, the latest in GenAI, and ML engineering best practices Writing easily maintainable, extendable, and understandable code that adheres to software engineering design principles Optimizing code for efficiency, reducing unnecessary CPU and memory overhead and costs wherever possible Designing, developing, and maintaining scalable, and resilient software architecture to serve customer needs Suggesting and making use of open-source software. Technologies we make use of: AWS, Unix, Docker, Snowflake, OpenTelemetry, Airflow You might be a good fit if you have: 5+ years in a Software Engineer role A collaborative, self-motivating, self-reliant, and ongoing pursuit of knowledge mindset Experience developing and deploying ML and GenAI models Experience with AWS, Unix, Docker, Snowflake, OpenTelemetry, Airflow Embraces a DevOps mindset and software engineering best practices (source control, testing, code review) Bachelor’s degree or equivalent experience Preferred Experience 5+ years backend engineer, with experience working on ML applications, building scalable production applications, working with large data sets, solving technical problems, and owning the entire development lifecycle Experience with Apache Arrow/Data Fusion/Polars #LI-Remote Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. Commitment to Diversity, Equity, Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you’re contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis. Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

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