Junior Research Scientist
Junior Research Scientist develops and refines ML architectures and LLMs for conversational AI in housing/healthcare, applies advanced math/ML to predict behaviors and optimize interactions. Requires PhD in math/physics/CS or related, strong ML foundation, and onsite work.
About the job
Key Responsibilities
- Develop and refine machine learning architectures optimized for advanced conversational flow
- Conduct comprehensive analyses to support decision-making and improve the effectiveness of our AI solutions
- Apply advanced mathematical and machine learning techniques to solve specific problems such as optimizing tenant engagement strategies, predicting tenant behavior, and improving customer interaction processes
- Stay abreast of the latest research in machine learning and AI, and apply innovative approaches to improve our products
- Work closely with cross-functional teams, including engineering, product development, and data science, to integrate and deploy machine learning models
- Work with the latest Large Language Models to leverage the power of generative AI on production scale data
Requirements
- Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field
- Strong foundation in machine learning algorithms, statistical analysis, and data modeling
- Demonstrated ability to apply analytical thinking and problem-solving skills to real-world challenges
- Proficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworks
- Willingness to work in person at our office 4-5 days a week
Compensation
Salary range: $150,000 - $230,000, plus equity and comprehensive benefits.
Skills
Machine Learning, LLMs, Python, R, Statistical Analysis, Data Modeling, Generative AI
Similar jobs
ML Engineering jobs
Garner Health
New York, NY
Build and ship production algorithmic systems that improve healthcare quality, access, and cost outcomes. The role combines machine learning, optimization, experimentation, and LLM productionization, requiring at least two years of relevant industry or advanced-degree experience.
Lyft
San Francisco, CADesign, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment and marketplace products. The role requires 2+ years of ML experience, production programming skills, and expertise with deep learning and recommendation systems.
Fireworks AI
San Mateo, CABuild, deploy, and optimize AI applications and machine learning models for customer use cases while contributing to an internal ML platform. This new graduate role requires a technical master’s degree, hands-on ML or LLM experience, and strong customer communication skills.
Ambral
New York, NYBuild production infrastructure for replayable enterprise environments, agent evaluation, and continuous model improvement. The role combines hands-on customer deployment, research experimentation, large-scale data processing, and production software engineering.
Nuro
Mountain View, CA
Build and maintain machine learning infrastructure for autonomy teams, including model pipelines, observability, inference serving, and compiler platforms. The role requires a relevant degree, at least one year of experience, strong Python skills, and familiarity with C++.