Lead research on machine learning and large language models to advance AI capabilities for housing and healthcare applications.
Compensation
The salary range for this role is $150,000 - $230,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package.
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
Design and implement AI agent architectures within the Bluefield framework, collaborating with Generative AI Engineers and ensuring high technical quality.
Compensation
Salary Range: $175,860.00 - $214,940.00
Responsibilities
Design detailed technical solutions and blueprints for AI agents
Ensure adherence to architectural guidelines and coding standards
Optimize Google Agent Space and Google Cloud Platform services
Develop reusable agentic components and libraries
Troubleshoot complex architectural and integration challenges
Requirements
Bachelor's degree in Computer Science, Data Science, or related field
Nice to have: Healthcare payer domain knowledge
Nice to have: Solution Architect Associate certification (GCP or AWS)
Senior Data Scientist for North America Data Analytics focusing on AI and Machine Learning capabilities, responsible for developing AI solutions, building pipelines, and designing architecture to meet business objectives.
Locations (4)
Jersey City, New Jersey, United States
Whitehouse Station, New Jersey, United States
Madison Avenue, New York, United States
Philadelphia, Pennsylvania, United States
Compensation
The pay range for the role is $125,400 to $182,600. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.
Responsibilities
UIUC Research Park Intern - ML AI Motor Controls Algorithm
Help develop an integrated analytical workflow that leverages Cloud infrastructure and Large Language Models (LLMs), alongside traditional machine learning, to derive actionable insights from complex vehicle data.
Compensation
The salary range for this role is $25.00-40.00/hr for Illinois based applicants.
Responsibilities
Design and implement robust Python-based tools to parse, decode, and extract features from automotive PCAP logs.
Apply advanced signal-processing techniques to transform vehicle data and perform large-scale analysis of corner cases of interest.
Research, develop, and train machine learning models (e.g., Decision Trees, Random Forests, Neural Networks) for prediction, detection, and classification tasks.
Architect the end-to-end workflow that processes raw vehicle logs, performs automated analysis, and prepares data for model training.
Create easy-to-understand dashboards for the general audience, focusing clearly on outcomes to support decision making.
You will be working with the fine tuning team on making state-of-the-art generative models and running autonomous work streams under the supervision of experienced scientists.
Locations (2)
Palo Alto, California, United States
Montreal, Quebec, Canada
Responsibilities
Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.
Assist in the design and implementation of machine learning models and algorithms.
Conduct research on the latest advancements in natural language processing and LLMs.
Contribute to the development and optimization of our LLM systems.
Collaborate with cross-functional teams to integrate LLM technologies into various applications.
Requirements
Currently doing a Master or PhD at a tier 1 engineering schools / Universities
Nice to have: experience in fine tuning LLMs
Nice to have: experience used complex HPC infrastructure with full autonomy
The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts within the PCA team.
Compensation
The annual base salary range is $175000.00-$300000.00 (USD). Actual compensation offered to candidate may vary from posted hiring range based on geographic location, work experience, education, and/or skill level among other things.
Responsibilities
Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components
Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors
Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm
Requirements
Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline
Data Scientist (II) focused on machine learning and analytics for NCR Voyix
Responsibilities
Design, develop, and implement machine learning models and algorithms to solve business problems and improve product performance.
Conduct in-depth data analysis, identify trends, patterns, and anomalies, and present findings clearly and concisely to technical and non-technical stakeholders.
Develop and maintain robust data pipelines, ensuring data quality, consistency, and accessibility for analytical purposes.
Collaborate with product managers, engineers, and other cross-functional teams to define data requirements, translate business needs into analytical solutions, and integrate models into production systems.
Evaluate and select appropriate analytical tools and techniques, staying current with industry best practices and emerging technologies in data science.
Requirements
Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
Lead reliability engineering for biopharmaceutical manufacturing equipment, driving continuous improvement, predictive maintenance, and mechanical integrity programs.
Compensation
The expected base salary range for this position at hiring is $108,000 - $128,000. In addition to base salary, total compensation for this role may also include incentive compensation and equity.
Responsibilities
Serve as the reliability leader within the organization, mentoring and coaching junior engineers and technicians
Lead reliability improvement teams and collaborate with other departments to address equipment issues
Use reliability engineering tools like FMEA and RCA to analyze maintenance and integrity data trends
Promote a culture of reliability and continuous improvement through proactive leadership
Develop, implement, and maintain comprehensive maintenance strategies and mechanical integrity plans
Requirements
Bachelor's degree in Engineering (Mechanical, Electrical, Chemical, or related discipline)
Nice to have: Certified in Data Analysis
Nice to have: Certified Maintenance & Reliability Professional (CMRP)
Nice to have: Certified Reliability Engineer (CRE)
Nice to have: Certified in Mechanical Integrity (API 510, 570, or 653)
Collaborate with business partners and peers to understand and scope problems
Work as an individual contributor or team to develop, implement and test AI/ML models on Azure
Synthesize data to uncover trends and recommend improvements
Perform data validation, preprocessing, and exploratory analyses
Research and implement novel AI/ML predictive modeling approaches
Requirements
Bachelor’s or Master’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Operations Research, Economics or Engineering
Nice to have: Property and casualty insurance experience
Junior Research ScientistNewEliseAI · San Francisco, US
Sr. Data ScientistChubb · Jersey City, US+3 more
UIUC Research Park Intern - ML AI Motor Controls AlgorithmRivian Automotive · Champaign, US
AI Scientist Intern - (Internship, Masters or Phd)Mistral · Palo Alto, US+1 more
Quantitative Developer - CIO OfficePoint72 · New York, US
Senior Software Engineer, Machine Learning, Discover Interest ModelingGoogle · Mountain View, US