Senior AI/ML Engineer (Contract to Hire) - Flexible Remote

Absentia Labs; Boston; Hybrid; PHP 7,538,000 - 11,307,000; Full time

Benefits offered by this job

Equity participation

Flexible remote or hybrid work

Job summary

Absentia Labs is seeking a Senior AI/ML Engineer to lead the design, training, and deployment of large-scale models that power our AI capabilities. You will operate at the intersection of model architecture, training systems, and production infrastructure, owning technical direction.

This role targets engineers with production experience training large models, comfortable with scale, and able to reason about learning dynamics, systems constraints, and end-to-end delivery.

Qualifications

• 5+ years of industry experience in machine learning or applied AI roles.
• Demonstrated experience training large-scale models in production settings, not just prototypes.
• 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: clean code, testing, reproducibility, and debugging at scale.
• Ability to clearly communicate technical trade-offs to both technical and non-technical stakeholders.

Responsibilities

• Design, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).
• Own end-to-end training pipelines, from dataset interfaces and batching strategies to distributed training and checkpointing.
• Make principled decisions about model architecture, objective functions, optimization strategies, and scaling laws.
• Build and optimize distributed training systems (data parallelism, model parallelism, sharding, mixed precision).
• Collaborate closely 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 with a focus on generalization, stability, and reproducibility.
• Contribute to architectural decisions around model serving, inference efficiency, and lifecycle management.
• Provide technical leadership through design reviews, mentorship, and cross-team collaboration.

Skills

5+ years ML

LLMs

Diffusion models

GNNs

PyTorch

Distributed training

Data pipelines

Software fundamentals

Communication

Tools

PyTorch

Job description

Absentia Labs is seeking a Senior AI/ML Engineer to lead the design, training, and deployment of large-scale models that power our AI capabilities. You will operate at the intersection of model architecture, training systems, and production infrastructure, owning technical direction.

This role targets engineers with production experience training large models, comfortable with scale, and able to reason about learning dynamics, systems constraints, and end-to-end delivery.