Ladders
Principal Machine Learning Engineer - Remote
Skills
7 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Remote
Published on:
16 October 2026
What they need
For our client, we are seeking a Principal Machine Learning Engineer to join the team of a leader in the Pharmaceuticals & Biotech space.
This role will partner closely with business leaders and technical stakeholders to identify high-value AI opportunities and translate them into actionable initiatives. The selected individual will help shape scalable machine learning solutions, from early concepts and proof-of-concept work through enterprise-ready architecture. This is a hands-on engineering leadership role focused on driving technical standards, enabling reuse, and improving the organization’s ability to deliver practical AI outcomes.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $187,395 – $253,534 annually
Responsibilities
- Engage with business leaders to identify AI opportunities and define success metrics
- Lead cross-functional teams to transform ambiguous ideas into clear AI initiatives
- Architect and build AI proofs of concept using advanced technologies and hands-on engineering
- Evaluate feasibility and business value through practical experimentation and early assessments
- Define scalable architectures and create reusable components for enterprise solutions
- Set high engineering standards through mentorship and technical leadership
Qualifications
- Doctorate degree with 2 years of experience in Machine Learning Engineering, or Master's with 6 years, or Bachelor's with 8 years, or Associate's with 10 years, or high school diploma with 12 years of experience in Machine Learning Engineering
- Substantial experience in machine learning and software engineering, with ownership of applications beyond prototypes
- Deep full-stack development skills, particularly in Python and API development
- Hands-on experience with cloud platforms like AWS and DevOps practices
- Strong knowledge of generative AI and machine learning application design
- Experience with enterprise architecture and integration patterns
- Demonstrated technical leadership and team management experience
Benefits
- Comprehensive employee benefits package including medical, dental, and vision coverage
- Retirement and savings plan with generous company contributions
- Discretionary annual bonus program or sales-based incentive plan for field sales representatives
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where applicable
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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