AI Scientist

Motivus; United States; On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Learning & Development programs

Collaborative environment

Career growth opportunities

Job summary

Motivus is seeking an AI Scientist to advance enterprise AI across Generative AI, LLMs, NLP, and computer vision. You will experiment, prototype, evaluate, and translate research into scalable, production-ready solutions for global clients.

Join a team of over 1,600 professionals delivering high-impact software and digital services. You will collaborate with AI engineers, product teams, and domain experts, publish insights, and contribute to cutting-edge AI that drives real business value.

Qualifications

• Advanced degree in CS/AI/ML or related technical field.
• Strong understanding of ML, DL, statistics, optimization, and AI algorithms.
• Strong Python programming and experience with ML frameworks (PyTorch, TensorFlow, JAX).
• Experience developing, training, evaluating, or deploying ML/AI models.
• Ability to translate research into working prototypes and practical AI solutions.
• Experience building or evaluating agentic AI systems and eval harnesses.

Responsibilities

• Research, develop, and evaluate AI/ML models and algorithms for complex problems.
• Develop novel approaches across Generative AI, LLMs, NLP, ML, DL, CV, optimization, or analytics.
• Design experiments to evaluate model performance, robustness, and impact.
• Develop prototypes and proof-of-concepts to validate AI approaches.
• Work with large datasets to build training pipelines and evaluation frameworks.
• Explore emerging AI research and assess applicability to enterprise use cases.
• Collaborate with AI engineers to transition research into production systems.
• Communicate research findings to engineering, product, and business stakeholders.

Skills

AI/ML models

Generative AI

NLP

Python

PyTorch

Deep learning

Experimentation

Education

Advanced degree (Masters/PhD) in CS/AI/ML

Tools

Hugging Face

Kaggle

arXiv/Google Scholar

Job description

At Motivus, we’re redefining digital transformation by combining cutting-edge technology with a culture focused on innovation, sustainability, and impact. Our team of over 1,600 professionals, delivering high-impact software and digital services that empower clients to reach new heights. As part of Motivus, you’ll not only work on groundbreaking solutions that drive change but also enjoy ample opportunities for professional growth, skill development, and career advancement. Join us to collaborate with passionate individuals dedicated to building a future where technology and human potential thrive together.

Overview

We are seeking an AI Scientist to drive the development of advanced AI and machine learning capabilities that solve complex enterprise problems. The AI Scientist will work across machine learning, generative AI, deep learning, model development, experimentation, evaluation, and applied research.

You will collaborate closely with AI engineers, product teams, domain experts, and client-facing teams to translate emerging AI techniques into practical, scalable solutions. The ideal candidate combines strong theoretical foundations in AI/ML with the ability to experiment, prototype, evaluate, and translate research into real-world applications.

Your Role And Responsabilities

• Research, develop, and evaluate AI/ML models and algorithms for complex business and industry problems.
• Develop novel approaches across areas such as Generative AI, LLMs, NLP, machine learning, deep learning, computer vision, optimization, or predictive analytics.
• Design and conduct experiments to evaluate model performance, accuracy, robustness, scalability, and business impact.
• Develop prototypes and proof-of-concepts to validate new AI approaches and technologies.
• Work with large and complex datasets to develop features, training pipelines, evaluation frameworks, and AI solutions.
• Explore emerging AI research, models, frameworks, and techniques and assess their applicability to enterprise use cases.
• Design and evaluate multi-agent architectures (planner/executor/validator patterns) and the guardrails, evals, and observability needed to run them reliably in production.
• Develop and evaluate LLM-based solutions including RAG, fine-tuning, prompt engineering, agents, model evaluation, and inference optimization, where applicable.
• Collaborate with AI engineers to transition successful research and prototypes into production-ready systems.
• Develop methodologies for model evaluation, benchmarking, experimentation, and continuous improvement.
• Partner with domain experts to understand industry-specific problems and develop AI solutions tailored to those environments.
• Communicate research findings, technical approaches, and AI capabilities to engineering, product, and business stakeholders.
• Contribute to technical thought leadership through research publications, patents, technical papers, presentations, or internal knowledge sharing where appropriate.

Requirements

• Advanced degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or a related technical field.
• Strong understanding of machine learning, deep learning, statistics, optimization, and AI algorithms.
• Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar.
• Demonstrated experience developing, training, evaluating, or deploying machine learning/AI models.
• Strong understanding of model evaluation, experimentation, data preparation, and statistical methodologies.
• Ability to translate research concepts into working prototypes and practical AI solutions.
• Experience building or evaluating agentic AI systems, including agent orchestration frameworks, eval harnesses, and safety/guardrail design.
• Strong analytical and problem-solving capabilities.

Preferred Qualifications

• Experience with LLMs, Generative AI, RAG, AI agents, foundation models, fine-tuning, or reinforcement learning.
• Experience with NLP, computer vision, recommender systems, forecasting, optimization, or other specialized AI domains.
• Experience with distributed training, model serving, MLOps, or large-scale ML systems.
• Experience working with cloud AI/ML platforms and GPU infrastructure.
• Publications in peer-reviewed AI/ML conferences or journals such as NeurIPS, ICML, ICLR, AAAI, ACL, CVPR, or similar.
• Experience contributing to open-source AI/ML projects or significant research initiatives.
• Experience applying AI to enterprise problems within Healthcare/Life Sciences, Financial Services, or other industry domains.

AI Portfolio / Proof of Craft

• A public portfolio demonstrating hands-on AI/ML craft, such as models or datasets published on Hugging Face Hub, competition results and notebooks on Kaggle, research code on GitHub, or papers/preprints on arXiv or Google Scholar.
• Please share links to your portfolio (GitHub, Hugging Face, Kaggle, arXiv/Google Scholar, personal site or blog) with your application. We weigh demonstrated, hands-on work as heavily as formal credentials.

Working At Motivus

• Grow Your Career: At Motivus, you will have the opportunity to expand your skills and take on leadership roles in diverse projects.
• Work on Emerging Tech: Be at the forefront of innovation by working with cutting-edge technologies and methodologies.
• Collaborative Environment: Work with talented teams that value your ideas and contributions.
• Learning and Development: We offer a range of L&D programs to help you advance your career.
• Client-Centric Approach: Contribute to solutions that create lasting value for global Fortune 500 clients.
• Culture of Innovation: We pursue innovation relentlessly, encouraging our teams to explore new ideas and technologies.
• Responsibility: We give back to the communities that support us and our clients.
• Learning & Development: Our employees lead, learn, and grow, supporting themselves and our clients.

Motivus is an equal opportunity employer and encourages diversity and inclusion in the workplace.