Senior AI/ML Engineer

Absentia Labs

. Design, train, and evaluate large-scale models, including LLMs, diffusion models, and GNNs .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $155,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, training, and evaluating large-scale machine learning models, including LLMs, diffusion models, and GNNs. Proficient in building and optimizing distributed training systems while effectively communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords

Large-Scale Model TrainingPyTorch ProficiencyDistributed Training OptimizationMachine Learning Model DeploymentTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large-Scale ModelsLLMsDiffusion ModelsGNNsDistributed TrainingData ParallelismModel ParallelismMixed PrecisionReinforcement LearningModel Compression

Soft Skills

Technical CommunicationMentorshipCollaboration

Tools & Technologies

Deep Learning FrameworksHigh-Throughput Data PipelinesML Frameworks

Industry Keywords

Machine LearningApplied AIModel EvaluationInference OptimizationStartup Experience

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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