Jobs at Factored

Develop recommender systems, predictive models, forecasts, and analytical solutions to support strategic decisions and business optimization. Responsibilities include exploratory data analysis, model monitoring, data-quality assessment, performance refinement, and applying emerging data science methods. The role requires strong Python and SQL skills, machine learning expertise, effective communication, and at least four years of professional experience.

Generate partner-sourced pipeline and new business opportunities across Databricks, AWS, Anthropic, and other ecosystems. Identify and qualify deals, research accounts, engage senior executives, book qualified meetings for Account Executives, coordinate co-selling with partners, collaborate with internal teams, and maintain accurate CRM and pipeline reporting.

Designs and evolves scalable data architectures, ETL processes, pipelines, data models, API integrations, and cloud-based data infrastructure. Responsibilities include optimizing Databricks and Snowflake workloads, validating data quality, monitoring performance, supporting AI/ML initiatives, securing data, and collaborating with stakeholders. The role requires strong Python and SQL skills, experience with relational and NoSQL databases, cloud platforms, orchestration tools, large datasets, and version control. Graph technologies such as Neo4j are a preferred plus.

Design, optimize, and deploy Retrieval-Augmented Generation systems and large language model applications for clients. Responsibilities include fine-tuning models, improving retrieval and generation performance, building GenAI product frameworks such as search, chatbots, and summarization tools, establishing ML infrastructure, writing scalable production code, and providing technical leadership on AI/ML opportunities.

Design, deploy, and optimize large-scale recommender systems and machine learning pipelines. Build recommendation models using architectures such as Wide & Deep, Two-Tower, Transformer, embedding-based, autoencoder, and sequential models. Process data with Databricks and Spark, integrate models into production, monitor performance, conduct experimentation and A/B testing, and collaborate with engineering, data science, and business teams.

Design, build, and deploy agentic LLM workflows that plan, call tools, maintain state, self-correct, and integrate with external systems. Implement monitoring, evaluation, guardrails, error handling, and human-in-the-loop checkpoints for safe, long-running multi-step agent executions.

Drive net-new enterprise customer acquisition from lead generation through contract closure. Build C-level relationships, develop account strategies, manage CRM pipelines and forecasts, negotiate complex contracts, and close large AI, machine learning, and data talent engagements. Partner with marketing, customer success, and talent teams to deliver customer outcomes and expand Factored AI’s enterprise footprint.

The Analytics Engineer will design, develop, and maintain data infrastructure and analytics solutions, ensuring data quality and collaborating with stakeholders.

Seeking a Software Engineer with 5+ years in AI/ML to design and implement scalable web APIs and applications, focusing on generative AI solutions, while engaging cross-functional teams and mentoring junior developers.

As an MLOps Engineer, you'll deploy machine learning models, design workflows for training and deployment, manage infrastructure, and collaborate with teams to optimize processes and ensure compliance.