AI & ML - Staff Scientist

About the role

The company, an emerging start-up, is building a revolutionary recommender system using Artificial Intelligence for enterprise clients. The platform generates and deploys hundreds of personalized campaigns in minutes, shifting from static segmentation to real-time, ML-driven decision-making.

Responsibilities

• Designing, implementing, and researching machine learning algorithms to address growth and personalization challenges, with continuous fine-tuning and improvement.
• Developing AI-driven autonomous agents to execute complex workflows across diverse applications and objectives.
• Implementing and enhancing offline model evaluation methods.
• Analyzing large business datasets to extract insights and answer critical business questions using statistical or machine learning methodologies.
• Communicating data-driven insights and recommendations to product, growth, and data science teams at the client's customers.
• Staying current on ML research through literature reviews, conferences, and networking.

Requirements

• Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience training, improving, and deploying ML models and developing production software systems (e.g., data pipelines, dashboards) at fast-growing technology companies.
• Proficiency in ML frameworks (TensorFlow, PyTorch, Jax) and the Python data science ecosystem (Numpy, SciPy, Pandas, etc.).
• Experience with LLMs, RAG, and information retrieval in building production-grade solutions.
• Expertise in recommender systems, feed ranking, and optimization.
• Knowledge of causal inference techniques and experimental design.
• Experience with cloud services for managing and consuming large-scale datasets.
• Thrives in ambiguity, with an ownership mindset and willingness to contribute beyond the role (e.g., product vision, strategic roadmap, engineering).

Qualifications

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible work environment with opportunities for hybrid work.
• Professional development budget for conferences, courses, and networking.
• Collaborative, innovative, and inclusive team culture.

Benefits

• Comprehensive health, dental, and vision insurance.
• Flexible work environment with opportunities for hybrid work.
• Professional development budget for conferences, courses, and networking.
• Collaborative, innovative, and inclusive team culture.

Schedule

Hybrid work schedule available.

Pay

$250,000 - $275,000 per annum