This role pays less than
98%
of similar roles. Most pay
$172,900–$254,750
— the shaded band above.
At the midpoint, this role pays about
$117k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has
86 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 86 roles with salary data.
Sr. AI/ML Engineer- Life Sciences serves as a technical leader for the life sciences AI platform, focusing on advanced cancer screening and precision oncology. This role involves guiding the architecture, technical roadmap, and implementation of generative AI solutions to improve scientific and medical processes. The engineer will build shared platform services, integrate agent frameworks with enterprise data sources, and establish engineering standards for validated, reusable components. Key responsibilities include mentoring junior team members and translating complex operational workflows into scalable systems. Required expertise includes Python, machine learning frameworks like TensorFlow, PyTorch, or SKLearn, and experience with large language models, transformer architecture, and retrieval augmented generation. The role requires proficiency in neural networks, deep learning, reinforcement learning, and specialized techniques such as natural language processing, image processing, and computer vision within a life sciences context.
Python
C++
Go
Rust
Kubernetes
Ray
Slurm
vLLM
SGLang
Triton
PyTorch
JAX
ROCm
HIP
CUDA
MLflow
Weights & Biases
CI/CD
Distributed Systems
GPU Infrastructure