Ladders
Machine Learning Engineer, AI Studio
Skills
18 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
8 October 2026
What they need
For our client, we are seeking a Machine Learning Engineer, AI Studio to join the team of a leader in the Pharmaceuticals & Biotech space.
This role will focus on building and supporting production AI capabilities that improve enterprise user experiences and operational effectiveness. You will work across machine learning, GenAI, data engineering, and platform execution to deliver reliable components at scale. The position also partners closely with product, engineering, and business stakeholders to define quality measures and ship maintainable solutions in a regulated environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $129,655 – $175,415 annually
Responsibilities
- Independently own defined production components within enterprise AI products
- Design and implement maintainable Python, SQL, and API components
- Apply machine learning methods including EDA and feature engineering
- Build GenAI and NLP components to enhance user experience
- Engineer data pipelines with schema validation and consistency checks
- Define evaluation metrics for model quality and user impact
- Release and support components using cloud services and CI/CD best practices
Qualifications
- Master's degree; or Bachelor's degree with 2 years experience; or Associate's degree with 6 years experience; or high school diploma with 8 years experience in Computer Science, IT, or a related field
- Demonstrated ownership of at least one production software, data, ML, GenAI, or automation component
- Strong hands-on proficiency in Python and SQL, with testing practices
- Capability in at least one of classical ML, GenAI/RAG/agents, or MLOps/platform engineering
- Experience with advanced ML tools such as PyTorch, TensorFlow, or related technologies
Benefits
- Comprehensive employee benefits package, including health and welfare plans
- Retirement and Savings Plan with generous company contributions
- Discretionary annual bonus program for performance
- Stock-based long-term incentives
- Flexible work models and award-winning time-off plans
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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