Note: The job is a remote job and is open to candidates in USA. Indeed is the world’s number 1 job site, dedicated to helping people get jobs. They are seeking a Senior Machine Learning Engineer to develop and deploy ML and AI solutions, collaborating with cross-functional teams to enhance employer-facing AI solutions.
Responsibilities
- Autonomously deliver ML and AI projects, including prompt development and evaluation, building LLM-as-a-Judge capabilities, and building ML systems and models
- Develop LLM and machine learning model improvements, scale them in production, and run iterative A/B tests to improve our employer-facing AI solutions
- Estimate potential business impact of AI and ML and balance tradeoffs between delivery velocity and systematic infrastructure investments
- Collaborate with cross-functional partners, including Machine Learning Engineers, Data Scientists, Software Engineers, Product, and UX designers/researchers
- Define and implement evaluation, observability, and production monitoring approaches for ML and LLM-based systems
- Serve as a trusted partner and communicator for cross-functional and cross-team counterparts, translating technical concepts to facilitate productive collaboration
- Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team
Skills
- Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master's degree with a minimum of 3 years of experience; or a PhD without experience
- Prior success in deploying impactful Machine Learning and/or LLM-based solutions to large-scale production systems
- Solid knowledge of data structures and algorithms
- Demonstrated sense of ownership and accountability as a key contributor in the technical and product domains
- Familiarity with agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g. GEPA)
- Knowledge of and practical experience working on Deep Learning libraries (like Torch, Tensorflow, etc.) and modern ML/LLM tooling
- Familiarity with modern ML system design, including evaluation, experimentation, and production monitoring for predictive and LLM-based systems
- Excellent written and verbal communication, effective with technical and business audiences
Benefits
- Quarterly bonuses
- Restricted Stock Units (RSUs)
- Paid Time Off policy
- Many region-specific benefits
- Reasonable accommodations to qualified individuals with disabilities in the employment application process
Company Overview
Company H1B Sponsorship