Forecasting Jobs

Why this is a real AI job: The role explicitly focuses on developing and launching machine learning models for core business functions like recommendations. The job description heavily emphasizes ML workflows, model building, and data analysis. The required experience clearly points to…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…

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Why this is a real AI job: The role is explicitly focused on building and maintaining Generative AI Analytics, data science models (forecasting, ranking, recommendation), and a semantic layer. A significant portion of the time (80%) is dedicated to these tasks.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML/AI models and systems, improving the performance of AI-powered products, and working with foundational models. The description highlights core AI/ML engineering tasks.

P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recomm…

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Why this is a real AI job: The role is explicitly focused on building and scaling forecasting systems using machine learning techniques. The job description details tasks such as model development, deployment, monitoring, and research into advanced forecasting methods (TimeGPT, LLMs).…

ABOUT THE TEAM The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding…

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Why this is a real AI job: The role explicitly focuses on building and deploying production-grade ML/statistical systems for forecasting, a core data science task. The description details advanced modeling techniques and a strong emphasis on ML and statistical research.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

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Why this is a real AI job: The role explicitly focuses on building statistical models, applying machine learning to large datasets, and driving data-informed decisions. The required skills heavily emphasize AI/ML techniques.

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to i…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML models to optimize AI compute infrastructure, a core AI activity. The responsibilities are heavily weighted towards data science tasks directly impacting the performance of AI systems.

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastru…

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Why this is a real AI job: The role explicitly focuses on building and deploying forecasting models, causal inference frameworks, and accuracy tracking for revenue prediction. It requires deep expertise in time-series methods and statistical modeling – core AI/ML skills.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML/optimization models to directly impact Lyft's core business (pricing, incentives, resource allocation). The responsibilities are heavily centered around the full model lifecycle and mathematical problem…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is es…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML models, optimization algorithms, and foundational models that directly impact Lyft's core business. Responsibilities center around the entire model lifecycle, from problem framing to production deployme…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is es…

Details Open source / apply