Senior Machine Learning Engineer at Chalice

We are looking for a Senior Machine Learning Engineer with 2-4 years of industry experience to join our growing team. In this role, you will develop and deploy cutting-edge machine learning models, including Large Language Models (LLMs) and foundational models, to solve business challenges. This position offers the opportunity to work closely with cross-functional teams, including product managers and software engineers, to build scalable AI solutions.

We seek someone with a strong technical background in Python and SQL, who can leverage cloud computing environments (such as AWS, Databricks, and Snowflake) to deploy and optimize models in production. Knowledge of the advertising industry is a bonus but not required. If you are a collaborative team player, passionate about machine learning innovation, and eager to create impact with advanced AI solutions, we’d love to hear from you.

Key Responsibilities

• Design, develop, and deploy machine learning models, including LLMs and foundational models, to solve real-world problems.

• Collaborate closely with product teams to align machine learning solutions with business goals and user needs.

• Partner with engineering teams to integrate models into production pipelines and ensure scalability, performance, and reliability.

• Build and maintain data pipelines using Python, SQL, and cloud technologies to feed machine learning models efficiently.

• Fine-tune and optimize PyTorch-based models and work with standard LLM/foundational model libraries (e.g., Hugging Face, LangChain).

• Perform experiments to validate new approaches and monitor model performance in production environments.

• Use cloud platforms like AWS, Databricks, and Snowflake to manage resources, deploy models, and maintain model artifacts.

• Keep up-to-date with the latest advancements in machine learning, LLMs, and foundational models to continuously improve solutions.

Qualifications

• Bachelor’s Degree or Equivalent with 2-4 years of relevant experience. Master's degree preferred. 

• Hands-on experience with LLMs, foundational models, and associated libraries (e.g., Hugging Face).

• Strong programming skills in Python and proficiency with SQL. Apache Spark experience preferred.

• Expertise in PyTorch and familiarity with other frameworks for building and deploying machine learning models.

• Experience working with cloud computing environments, such as AWS, Databricks, and Snowflake.

• Knowledge of ML deployment best practices and versioning tools.

• Strong problem-solving skills with a passion for continuous learning and staying ahead of new technologies.

• Excellent collaboration and interpersonal skills; ability to work effectively in a team-oriented, cross-functional environment.

• (Optional) Experience or familiarity with the advertising industry or related technologies is a plus.

Why Join Us

• Innovative Environment: Work with cutting-edge technologies in a fast-paced, innovative environment.

• Career Growth: Opportunities for professional development and career advancement.

• Collaborative Culture: Join a diverse and inclusive team that values collaboration and creativity.

• Competitive Compensation: Attractive salary and competitive benefits package.

• Inclusive Workplace: be part of a culture of inclusiveness that celebrates diversity.