Senior Applied AI & Machine Learning Scientist

Top Required Skills (Must Haves)

• Machine Learning & Applied AI Development (5-7 years): Develop, fine-tune, validate, and optimize ML models, foundation models, and generative AI solutions; translate research into prototypes.
• Data Science, Experimentation & Model Evaluation (5-7 years): Design experiments, build evaluation frameworks, benchmark models, analyze datasets, and generate actionable insights.
• Software Engineering & Rapid Prototyping (5-7 years): Build proof-of-concepts, AI-powered applications, experimentation platforms, and data-intensive systems using modern software engineering practices.
• Programming & AI Technologies: Strong coding in Python and modern AI frameworks; experience with multimodal models, RAG, agentic systems, and emerging ML technologies.

Key Responsibilities

• Collaborate with Research teams to evaluate, adapt, and operationalize AI innovations into functional prototypes.
• Design and execute experiments to measure model performance and user engagement.
• Build evaluation frameworks and benchmarks for foundation models, generative AI, multimodal systems, and agent workflows.
• Fine-tune, validate, and improve ML models using real-world datasets.
• Develop prototypes and proof-of-concepts for stakeholders.
• Gather requirements, develop software, and debug/test systems.
• Stay current with ML, AI, and evaluation advancements; present findings to influence strategy.

Required Expertise

• Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related field.
• 5-7 years professional experience in ML, applied AI, software engineering, or data science.
• Strong foundation in ML, software engineering, statistics, and experimental design.
• Experience building AI-powered applications and data-intensive software.
• Hands-on experience evaluating, debugging, and validating ML models.
• Strong programming in Python and modern AI frameworks.
• Experience with foundation models, generative AI, multimodal models, RAG, agentic systems, etc.
• Ability to learn quickly and thrive in ambiguous, research environments.
• Strong analytical, problem-solving, and communication skills.
• Ability to work remotely, preferably in EST timezone.
• Commitment to minimum 12-month engagement.

Ideal Candidate Traits

• Deep technical expertise, adaptability, and curiosity;
• Experience with AI-assisted tools;
• Able to move between research papers and prototypes quickly;
• Strong collaboration skills.

Benefits

• Health insurance (medical, dental, vision, life)
• employer-matched 401K
• paid time off
• paid holidays

Additional Notes

• Must be authorized to work in the U.S. without sponsorship.
• E-Verify employer.
• Employment contingent on background check.
• No C2C or recruiting firm solicitations.