Arc Institute · 9 hours ago
Machine Learning Engineer
Arc Institute is a new scientific institution focused on curiosity-driven basic science and technology development to understand and treat complex human diseases. They are seeking an experienced Machine Learning Engineer to advance the frontiers of biological foundation models, contribute to the Virtual Cell Initiative, and collaborate with a multidisciplinary team to achieve breakthroughs in biological prediction and design tasks.
BiotechnologyNon ProfitTraining
Responsibilities
Actively participate in the design, implementation, and refinement of state-of-the-art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems
Engineer large-scale distributed model pretraining and pipelines for efficient model inference
Enable robust systematic evaluation of trained models
Stay up-to-date with the latest advancements in technologies for large-scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state-of-the-art
Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations
Publish findings through journal publications, white papers, and presentations (both internal to Arc and external)
Foster internal and external collaborations centered on generative design of biological systems at Arc Institute
Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others
Qualification
Required
B.S, MS or PhD in Computer Science, Machine Learning or a related field
Minimum of 5-8+ years of relevant experience in machine learning research or ML engineering in an academic (e.g., PhD) or industry research lab
Well-versed in machine learning frameworks such as PyTorch or JAX
Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron-LM
Excellent communication skills, both written and verbal, with a strong track record of presentations and publications
Ability to communicate and collaborate successfully with biologists and software/infrastructure engineers
Motivated to work in a fast-paced, ambitious, multi-disciplinary, and highly collaborative research environment
Benefits
Annual discretionary bonus
Company
Arc Institute
Arc Institute is a biomedical science and research technology company.
H1B Sponsorship
Arc Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (24)
2024 (13)
2023 (3)
Funding
Current Stage
Growth StageRecent News
Medical Xpress - latest medical and health news stories
2025-10-21
Genetic Engineering News
2025-09-27
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