Mars Customer Manager, Wegmans Account, Illinois Remote
Mars
Lead Mars Snacking’s Accelerator account strategy for Wegmans. Drive retailer growth through assortment, merchandising, pricing, promotions, and forecasting.
Open
Proxima is a biotechnology company developing an integrated discovery platform for designing and programming protein interactions. Its approach combines generative AI, advanced data generation, and structural modeling to identify proximity-based medicines, including molecular inducers, modulators, and blockers. Proxima also works with industry partners to advance induced-proximity discoveries toward drug candidates.
Machine Learning Engineer – New York Remote
Build Python and PyTorch workflows for Proxima’s AI-driven drug discovery platform. Improve scientific computing, machine learning infrastructure, and tools that help researchers run and evaluate experiments.
Description
- Create dependable scientific workflows that colleagues can execute, reproduce, and troubleshoot with minimal manual effort.
- Add models, datasets, and evaluation approaches while maintaining data integrity and compatibility with existing experiments.
- Strengthen compute workflows through improved job submission, monitoring, recovery from failures, and artifact tracking.
- Find and resolve data preparation, execution, and evaluation bottlenecks to accelerate research iteration.
- Develop maintainable libraries, services, and developer tools supported by suitable testing, documentation, and monitoring.
- Support the culture of a rapidly expanding company.
- Partner closely with researchers and infrastructure engineers.
- Build experience across automation, infrastructure, data, and machine learning.
- Help scientists create models, conduct experiments, and interpret their results.
- Troubleshoot deployed systems, from integrating training datasets and diagnosing stalled inference jobs to creating APIs for scientific results and automating manual processes.
Requirements
- Strong Python and software engineering foundations, including data structures, interface design, testing, concurrency, and methodical debugging.
- Demonstrated experience delivering software that others rely on, including maintaining and troubleshooting it after release.
- Experience building or supporting machine learning or scientific computing workflows, with an understanding of how data, model execution, and evaluation connect.
- PyTorch experience is required.
- Experience running software on Linux.
- Experience working with containers.
- Experience delivering changes through automated testing and CI/CD.
- Ability to structure ambiguous problems, work independently, and explain technical tradeoffs using evidence.
- Willingness to contribute across automation, infrastructure, data, and machine learning.
- Strong ownership and clear communication with scientists and engineers.
- Ability to use AI development tools effectively while taking responsibility for the correctness and maintainability of the resulting code.
- Experience with Kubernetes, cloud platforms, workflow orchestration, databases, or computational biology and chemistry is valuable.
- A background in biology or chemistry is not required.
Benefits
- The posting does not specify benefits, perks, or additional compensation.
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