Apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. This role will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments. Translate model insights into actionable strategies that drive business decisions and financial inclusion.
As ML Lead, you’ll drive the strategy, architecture, and execution of our ML initiatives - from recommendation systems to predictive analytics. You’ll have a chance to lead a small ML team (starting with hands-on work), define best practices, and build systems that directly impact the product and business outcomes.
As an ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems. You’ll work on impactful product features, collaborate with engineers and analysts, and have the freedom to experiment and learn. You will Develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.
Seeking a talented AI Frontier Model Scientist who has recently completed their PhD to join our cutting-edge team and tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning.
As a Lead Data Scientist, you will spearhead the development of cutting-edge Generative AI solutions while building and guiding a brand-new data science team. You’ll be responsible for shaping technical strategies, driving innovation, and delivering impactful AI-driven products leading from the front in a fast-evolving space.
As a Manager Data Scientist, you will lead a team focused on developing advanced recommendation engines and deploying machine learning models into production environments. You will leverage your expertise in Python and PySpark coding, along with your experience in MLOps, to play a pivotal role in enhancing Blend's data-driven decision-making processes. This position offers a unique opportunity to lead and mentor a team while driving technical excellence and innovation.
Be the first Senior Data Scientist to join our Central Data Team and build our data science function from the ground up, leading the charge in developing advanced data products that will directly fuel our Product & Marketing strategies. Design and develop custom-built solutions, including LLMs, predictive models for forecasting, recommendation systems, and causal inferences. Contribute to building Remote’s data science culture and processes.
Rackner is seeking an experienced and visionary Principal Data Scientist to lead our talented and dynamic team. In this senior leadership role, you will combine technical expertise, business acumen, and leadership capabilities to collaborate with senior stakeholders. Your focus will be to understand and define client needs in Big Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML).
Responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services, you will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. Focus will be on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance.