ML Engineer

Job not on LinkedIn

🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Proxima

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🧬 Biotechnology

🤖 Artificial Intelligence

💊 Pharmaceuticals

Biotechnology • Artificial Intelligence • Pharmaceuticals

Proxima is a biotechnology company that builds an integrated discovery platform to design and program protein interactions, enabling a new class of proximity-based medicines (inducers, modulators, and blockers). The company combines generative AI, advanced data-generation, and structural modeling technologies to accelerate discovery of therapeutics and collaborates with industry partners to translate induced-proximity modalities into drug candidates.

📋 Description

• Build reliable scientific workflows that colleagues can run, reproduce, and troubleshoot with less manual intervention • Integrate new models, datasets, and evaluation methods while preserving data correctness and compatibility with existing experiments • Improve compute workflows through better job submission, monitoring, failure recovery, and artifact tracking • Identify and remove bottlenecks in data preparation, execution, and evaluation so researchers can iterate faster • Deliver libraries, services, and developer tools that are easy to use and maintain, with appropriate tests, documentation, and monitoring • Contribute to the culture of a rapidly growing company • Work closely with researchers and infrastructure engineers • Learn and work across automation, infrastructure, data, and machine learning • Help scientists develop models, run experiments, and use results • Investigate problems through deployment, including integrating datasets into training, diagnosing stalled inference jobs, building APIs for scientific results, and automating manual workflows

🎯 Requirements

• Strong Python and software engineering fundamentals, including data structures, interface design, testing, concurrency, and systematic debugging • Track record of delivering software that other people use and depend on, including maintaining and troubleshooting it after release • Experience building or supporting ML or scientific computing workflows, understanding how data, model execution, and evaluation fit together • PyTorch experience is required • Experience running software on Linux • Experience working with containers • Experience shipping changes through automated tests and CI/CD • Ability to break down ambiguous problems, make progress independently, and explain technical tradeoffs with evidence • Willingness to work across automation, infrastructure, data, and ML • Strong sense of ownership and clear communication with scientists and engineers • Ability to use AI development tools effectively and take 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 • Biology or chemistry background is not required

🏖️ Benefits

• No benefits, perks, or compensation extras are specified in the posting