17 Bayesian Inference Jobs

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: AI Tutor Statistics Specialist Type: Full-time Compensation: $90,000$200,000/year Location: Palo Alto, CA (in-office five days per week) or Remote Commitment: 9:00am5:30pm PST for the first two weeks of training, then 9:00am5:30pm in your local timezone Role Responsibilities Use proprietary software to annotate and evaluate statistical data, equations, and model outputs. Design and select challenging statistical problems in areas such as pr...

Role Overview: You will be leading the development of next-generation Analytics and Machine learning software, utilizing your expertise in Statistics, Mathematics, and Engineering. Your responsibilities will include working on Bayesian modeling, probabilistic modeling, and Bayesian Inference, as well as programming in Python and PyTorch. You will be expected to have exceptional analytical and problem-solving skills, with the ability to translate business problems into Data Science/NLP problems. In addition, you will be creating visualizations for data and communicating effectively at all technical and day-to-day levels. Key Responsibilities: - Spearhead the development of next-generation Ana...

As a Generative AI Engineer at Prismforce, you will play a crucial role in developing cutting-edge NLP and ML projects. Your responsibilities will include: - Fine-tuning Large Language Models (LLMs) using techniques like LoRA and QLoRA - Evaluating and enhancing Retrieval-Augmented Generation (RAG) pipelines for groundedness, accuracy, and relevance - Applying transfer learning and transformer architectures in model development - Validating model accuracy and performance using appropriate metrics - Collaborating with product teams and effectively communicating insights to senior leadership - Contributing innovative ideas in problem-solving sessions - Maintaining an experimental mindset and c...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: AI Tutor Statistics Specialist Type: Full-time Compensation: $90,000$200,000/year Location: Palo Alto, CA (in-office five days per week) or Remote Commitment: 9:00am5:30pm PST for the first two weeks of training, then 9:00am5:30pm in your local timezone Role Responsibilities Use proprietary software to annotate and evaluate statistical data, equations, and model outputs. Design and select challenging statistical problems in areas such as pr...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: AI Tutor Statistics Specialist Type: Full-time Compensation: $90,000$200,000/year Location: Palo Alto, CA (in-office five days per week) or Remote Commitment: 9:00am5:30pm PST for the first two weeks of training, then 9:00am5:30pm in your local timezone Role Responsibilities Use proprietary software to annotate and evaluate statistical data, equations, and model outputs. Design and select challenging statistical problems in areas such as pr...

Role Overview: As a Senior Statistician at Rhythm, you will lead statistical research, design experiments, develop predictive models, and ensure robust data-driven insights. Collaborating closely with data scientists, AI engineers, and business stakeholders, you will build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will play a crucial role in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Key Responsibilities: - Analyze customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI solutions. - Develop and ap...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: AI Tutor Statistics Specialist Type: Full-time Compensation: $90,000$200,000/year Location: Palo Alto, CA (in-office five days per week) or Remote Commitment: 9:00am5:30pm PST for the first two weeks of training, then 9:00am5:30pm in your local timezone Role Responsibilities Use proprietary software to annotate and evaluate statistical data, equations, and model outputs. Design and select challenging statistical problems in areas such as pr...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: AI Tutor Statistics Specialist Type: Full-time Compensation: $90,000$200,000/year Location: Palo Alto, CA (in-office five days per week) or Remote Commitment: 9:00am5:30pm PST for the first two weeks of training, then 9:00am5:30pm in your local timezone Role Responsibilities Use proprietary software to annotate and evaluate statistical data, equations, and model outputs. Design and select challenging statistical problems in areas such as pr...

Role Overview: You are a data-driven Statistician supporting advanced analytics in the solar energy sector. Your main responsibilities include analyzing large datasets using SQL, applying statistical techniques for project performance assessment, and generating insights to optimize operational efficiency. Ideal candidates will have a strong statistical background and domain experience in energy or engineering data. Key Responsibilities: - Analyze solar project flow, customer data, and operational efficiency using statistical methods like Bayesian inference, distribution modeling, and descriptive statistics. - Write complex SQL queries to extract, join, filter, and manipulate large datasets e...

Research Manager Machine Learning (RESEARCH SCIENCES) About Data Sciences Group at Flipkart: The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India's largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities. In a nutshell, the terabytes of daily data compounded in Flipkart's data centers offe...

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions ...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

On a typical day at XPO India Shared Services, you will be responsible for conceiving and developing end-to-end solutions with a focus on Data Science and Engineering. This will involve utilizing Artificial Intelligence, Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Generative AI, Software Development, Cloud Computing, and Visualizations. Your primary objective will be to troubleshoot technical issues in existing processes and current development work, seeking assistance from other roles and groups as needed to ensure the integrity of platform quality and project timelines. In addition, you will work on improving shared standard patterns, templates, and a...

As a quantitative researcher at Winbold, you will have the opportunity to work on stock market data to research and develop quant and machine learning models for stock trading. Your responsibilities will include data science and analytics of stock market data, building models to identify correlations and causations, developing decision models and risk models for stock trading, and creating models that translate mathematical analysis into trade decisions. The ideal candidate must possess a strong background in advanced statistical analysis of large datasets and be well-versed in core quant concepts such as Bayesian inference, 2 phase stochastic optimization, and related techniques. Additional...

You are looking for a Lead Data Scientist with over 10 years of experience in the field. The ideal candidate should have a Master's or PhD in Computer Science, Mathematics, Statistics, or a relevant field. In this role, you will be responsible for leading the development of next-generation Analytics and Machine Learning software. Your primary responsibilities will include utilizing your strong expertise in Statistics, Mathematics, and Engineering to spearhead the development process. Experience in Bayesian modeling and Probabilistic modeling is essential. You should also have experience working with Python and one of the popular probabilistic programming systems such as Pyro, PyMC, or Stan. ...

As a collaborative team member, you will be responsible for analyzing problems, writing functions/scripts to build datasets, conducting model building and testing, writing informal reports for internal use, and working with developers and implementation engineers to specify database models and determine algorithm implementations. You should possess 3-5 years of experience in data analysis and methodologies, along with a background in building time series and exposure to prediction modeling. Proficiency in R and Matlab, as well as knowledge of Bayesian inference, are essential for this role. Additionally, strong communication skills will be beneficial in effectively carrying out your responsi...

As a Senior Statistician at Rhythm, you will play a crucial role in leading statistical research, designing experiments, and developing predictive models to ensure robust data-driven insights. Your responsibilities will involve collaborating closely with data scientists, AI engineers, and business stakeholders to build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will be instrumental in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Analyzing customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI soluti...