Who you are

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment -
• Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
• Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
• Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

What the job involves

• The Context team’s mission is to own and innovate on contextual story telling to enhance the listening experience
• Using a mixture of human written content and LLMs, we strive to provide depth and connection for all listeners
• We are looking for a Machine Learning Engineer to join our team to build and improve our storytelling capabilities
• Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Be part of an active group of machine learning practitioners

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs