Remote Data Jobs • PyTorch

SmithRx is seeking an experienced Data Scientist with expertise in machine learning to drive and implement ML-powered solutions. In this role, you will leverage our rich data set to drive and implement a wide variety of ML-powered solutions. You will work with cross-functional leaders to deliver impactful AI solutions that directly influence our business outcomes.

As the Senior AI/ML Engineer, you'll lead the design, development, and deployment of cutting-edge ML and Generative AI solutions in our customer-facing products. In this role, you'll be instrumental in building recommendation systems, generating insights and creating agentic workflows. You will collaborate with other engineering staff to build consensus toward proposed solutions and implement best practices. You will also work with product and management in identifying and building a deep AI/ML roadmap.

Build models by executing predefined experiments and templated code within the standard model development paradigm. Data extraction and preparation for use in solution building. Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems. Provide technical and infrastructural advice on model builds, solution design, and requirements. Help train the rest of the team.

As part of the exploration team inside the AI department, you will pursue ambitious projects with high impact potential by discovering and refining transformer-based neural network architectures and data pipelines. You will need to follow clues, spot patterns, uncover the story hidden in the numbers, and turn raw data into knowledge. It's expected to experiment and allowed to fail, as long as you learn something. As a member of a fully remote team, you are expected to complete tasks autonomously.

We're on the lookout for a Machine Learning Engineer to spearhead the evolution of our device intelligence and fingerprinting systems, a chance to lead groundbreaking projects that directly combat fraud and enhance security for millions. You will design and refine backend services using Go (Golang) to process and analyze device data, collaborate with stakeholders, and apply advanced machine learning models to enhance device recognition.

Weave accelerates how therapeutic knowledge is created, organized, and shared. The Research team turns novel, state-of-the-art AI into practical capabilities and open science contributions. Your work will super-charge Weave’s people with internal tools that cut busy-work, elevate our platform by inventing and benchmarking algorithms that make LLM-powered workflows reliable, and advance the field through papers and collaborations.

As a Machine Learning Scientist intern you will work with a dedicated team, invested in your professional development, to design, develop and deploy machine learning models. You will design and develop ML models, collaborate with team members to define objectives for AI systems and build and integrate LLM-powered components. You will also conduct experiments and evaluations to assess ML and LLM model quality.

We are seeking a highly skilled and forward-thinking Senior AI Specialist to design, develop, and implement cutting-edge AI models and solutions to maintain technical leadership. The ideal candidate will play a key role in model development, research, and team collaboration, helping shape the direction of our AI initiatives.

A Data Scientist focused on Large Language Models is needed to join the AI R&D team. You will design, train, and optimize LLMs that power real product features and internal tools. This role involves work on everything from architecture and data preparation to multi-scale training and evaluation.

Enhance ClickHouse’s Python capabilities and improve the experience for data scientists and machine learning teams using ClickHouse. As a Data Science-Focused Software Engineer, you will be at the intersection of engineering and data science. Your primary responsibility will be to enhance ClickHouse’s Python ecosystem, ensuring seamless integration for data scientists, ML engineers, and analytics professionals for data exploration and preparation workloads.