Senior AI/ML Engineer

Job not on LinkedIn

🔥 4 minutes ago

🏄 California, New York, +3 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $155k - $200k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Absentia Labs

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Artificial Intelligence • Biotechnology • Pharmaceuticals

Absentia Labs is building AI foundation models that predict how medicines behave inside the human body to transform biology from an experimental science into a predictive one. Their technology includes a Digital Liver model — the first AI drug-development tool accepted into the FDA Qualification Program — and systems that learn from biological, chemical, and clinical data to model drug behavior, predict safety and efficacy, and accelerate decision-making across the drug development pipeline. The company aims to make human biology computable to enable safer medicines, reduce animal testing, and improve the speed and success rate of therapeutic innovation; it publishes research and is staffed by a multidisciplinary team in computational biology and AI.

📋 Description

• Design, train, and evaluate large-scale models, including LLMs, diffusion models, and GNNs • Own end-to-end training pipelines from dataset interfaces and batching strategies through distributed training and checkpointing • Make decisions about model architecture, objective functions, optimization strategies, and scaling laws • Build and optimize distributed training systems using data parallelism, model parallelism, sharding, and mixed precision • Collaborate with data engineers to define ML-ready datasets and streaming interfaces • Translate ambiguous scientific or product requirements into robust ML solutions • Drive model evaluation, ablation, and iteration focused on generalization, stability, and reproducibility • Contribute to model serving, inference efficiency, and lifecycle management architecture • Provide technical leadership through design reviews, mentorship, and cross-team collaboration • Lead the design, training, and deployment of machine learning models forming Absentia Labs' AI capabilities

🎯 Requirements

• 5+ years of industry experience in machine learning or applied AI roles • Demonstrated experience training large-scale models in production settings • Hands-on expertise with LLMs, diffusion models, and/or GNNs • Strong proficiency in PyTorch or equivalent deep learning frameworks • Deep understanding of distributed training, including parallelism strategies and performance optimization • Experience working with large datasets and high-throughput data pipelines • Strong software engineering fundamentals, including clean code, testing, reproducibility, and debugging at scale • Ability to communicate technical trade-offs to technical and non-technical stakeholders • Experience with reinforcement learning, fine-tuning, or preference-based optimization is a bonus • Familiarity with model compression, distillation, or inference optimization is a bonus • Experience deploying models in production inference systems is a bonus • Exposure to multimodal learning or foundation models is a bonus • Prior startup or fast-moving R&D experience is a bonus • Contributions to open-source ML frameworks or research codebases are a bonus • Undergraduate degree in computer science is requested in the application form • Must be legally authorized to work in the U.S. • Must answer whether visa sponsorship will be required • Resume required; brief note describing experience training large-scale models requested

🏖️ Benefits

• Meaningful equity participation • Bonus opportunity • Flexible remote or hybrid work arrangements • High autonomy and low bureaucracy • Opportunity to work on foundation-level ML systems applied to real scientific problems • Ownership over model design and training strategy • Close collaboration with data, infrastructure, and scientific teams

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