Senior Machine Learning Engineer

Talener; Boston (MA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Talener is seeking a product-focused Machine Learning Engineer to join a life sciences technology group delivering AI-powered solutions for drug discovery. You will work across the full ML lifecycle from data prep to deployment, collaborating with software engineers, scientists, and product teams to translate research into reliable, scalable ML services.

You will design and optimize models using PyTorch, TensorFlow, or JAX, build scalable pipelines, and deploy containerized ML services in cloud

Qualifications

• 5+ years of experience building and delivering ML solutions in production.
• Strong proficiency in Python development.
• Deep experience with PyTorch, TensorFlow, or JAX.
• Experience translating complex ML problems into measurable business outcomes.

Responsibilities

• Design, build, and deploy ML models for scientific discovery and predictive analytics.
• Develop solutions involving graph neural networks, transfer learning, and molecular prediction models.
• Create scalable training, evaluation, and model selection pipelines.
• Curate and improve large scientific datasets ensuring data quality and reproducibility.
• Partner with engineering teams to deploy containerized ML services in cloud environments.
• Research and evaluate emerging ML approaches for platform integration.

Skills

Python

ML Engineering

Model Deployment

PyTorch

TensorFlow

JAX

Tools

Kubernetes

Docker

RDKit

Chemprop

Cloud ML Infra

Job description

Machine Learning Engineer

Join an industry-leading life sciences technology organization that develops advanced software and AI solutions used by pharmaceutical, biotechnology, and research organizations worldwide. Their flagship AI platform brings cutting-edge machine learning directly into the workflows scientists use every day, helping drug discovery teams make faster, data-driven decisions. The platform combines large-scale scientific datasets, predictive modeling, and cloud-based infrastructure to accelerate the identification and development of new therapies.

About the Role

We are seeking a product-focused Machine Learning Engineer to help build and scale a next-generation AI platform used in drug discovery and scientific research. This individual will work across the full machine learning lifecycle, from data preparation and experimentation through model development, deployment, and optimization.

You will collaborate closely with software engineers, scientists, and product teams to transform advanced machine learning research into reliable, production-ready solutions that deliver real-world impact.

What You'll Do

• Design, build, and deploy machine learning models that support scientific discovery and predictive analytics.
• Develop solutions involving graph neural networks, transfer learning, molecular prediction models, and modern deep learning techniques.
• Create scalable training, evaluation, and model selection pipelines.
• Curate and improve large scientific datasets while ensuring data quality and reproducibility.
• Partner with engineering teams to deploy containerized ML services in cloud-based environments.
• Research and evaluate emerging machine learning approaches for incorporation into the platform.

Qualifications

• 5+ years of experience building and delivering machine learning solutions in production environments.
• Strong Python development skills.
• Deep experience with PyTorch, TensorFlow, JAX, or similar frameworks.
• Strong understanding of model training, evaluation, optimization, and deployment.
• Experience translating complex machine learning problems into measurable business outcomes.

Preferred

• Experience in life sciences, chemistry, drug discovery, bioinformatics, or related scientific domains.
• Knowledge of RDKit, Chemprop, federated learning, Kubernetes, Docker, and cloud-based ML infrastructure.

This is an opportunity to work on highly impactful AI products that directly support scientific innovation and the development of life-changing therapies.

Compensation:

$180,000 – $250,000 base salary (Based on experience) plus benefits and equity