Senior Machine Learning Engineer

About Us

Chalice Custom Algorithms (chalice.ai) is the leading AI application for brands applying their own data and analytics in the real-time decisioning of ad buys. Chalice’s software automates data ingestion, predictive analytics, and deployment of custom bidding instructions in a supervisedlearning environment, where advertisers can visualize and test their custom algorithms. Advertisers’ algorithms can be deployed in all major DSPs, as well as Meta and YouTube. Chalice was named “Best Demand Side Tech” by AdExchanger, and powered AdWeek’s “Best Use of Programmatic” in the 2023 Media Plan of the Year awards.

We are looking for a highly skilled and experienced Senior Machine Learning engineer to join our dynamic team and play a pivotal role in shaping our LLM and Foundational Model product suite.

About the Role

We are looking for a Senior Machine Learning Engineer with 5-10 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 PySpark, Pytorch, Tensorflow 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 preferred. 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.

• Develop and test new components in our pipelines deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.

• 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.

• Leverage technical expertise to ensure pipelines maintain high uptime and low latency

• 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

• Master’s Degree or PhD in Statistics, Computer Science, or Related Discipline with 5-10 years of industry experience.

• Experience with LLMs, foundational models, and associated libraries (e.g., Hugging Face).

• Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming.

• Experience with GraphQL, REST, HTTP, or gRPC basics and the ability to design and implement maintainable APIs.

• Proven track record of deploying machine learning models in production environments • 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 teamoriented, cross-functional environment.

• Experience or familiarity with the advertising industry

• Experience mentoring junior MLEs and software engineers

Why Chalice?

Joining Chalice means being at the forefront of AI for advertising, working in a stimulating and dynamic environment that encourages creativity, growth, and innovation. We value diversity, collaboration, and dedication to making a meaningful impact in the advertising landscape.

Chalice is a profitable early-stage company with funding from industry insiders including Trade Desk’s TD7 Ventures and Aperiam Ventures. Chalice's clients range from Fortune 100 companies, the world's largest advertising agencies as well as up and coming brands and independent agencies across the globe.

Chalice’s philosophy

• AI is too important for brands to outsource

• AI should be transparent and auditable

• We strive for excellence while fostering learning and creating a supportive work environment.

• We are a team of non-conformist, independent thinkers

We are committed to and driven by diversity of thought, background, and experience, and creating the psychological safety for all to thrive

To learn more about Chalice, visit our website. www.chalice.ai

Location

Chalice is based in NYC, with a hybrid office/remote work site. This role is remote with the option for Hybrid work in NYC.

Compensation

This role offers a competitive base salary with a range of $180,000 – $250,0000, depending on experience.

Benefits include

• Medical

• Dental/vision

• 401k options

• Unlimited PTO

• 11 Company Holidays

• Office wide closure between Christmas Eve and New Years

If you're ready to be part of a team that's shaping the future of advertising through custom AI solutions, reach out, and let's create something amazing together!

Chalice participates in E-Verify. Chalice will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. For more information, visit https://www.uscis.gov/e-verify.