Senior ML Engineer

Senior ML Engineer Overview

At Anaplan, we are a team of forward-thinking innovators dedicated to enhancing business decision-making through our advanced AI-powered scenario planning and analysis platform. Our platform enables leading global companies, including Fortune 50 giants like Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, to stay ahead of their competition. Our collective culture emphasizes a winning mindset, diversity of thought, leadership at all levels, and a commitment to ambitious goals. We foster an environment where every individual’s unique qualities are valued, and we support inclusive hiring and working practices.

Team and Role Overview

You will become a member of the Predictive Intelligence engineering team, responsible for developing backend services that power the ML Engine behind the Syrup platform and Anaplanâ??s forecasting solutions. This team manages the deployment and execution of forecasting and predictive models, maintains the MLOps infrastructure supporting data scientists, and develops data processing services that deliver insights to enterprise clients. The role reports directly to the Director of Engineering for Predictive Intelligence and involves close collaboration with data scientists, ML engineers, and platform partners.

Key Responsibilities

• Design and build scalable, resilient backend services that form the backbone of the ML Engine, ensuring fault tolerance and high availability.
• Lead the development of MLOps features, including creating pipelines for training models, deploying models into production environments, and managing runtime infrastructure for ML models.
• Work with data scientists to transition experimental models into stable, production-ready services that are observable and reliable.
• Improve forecasting, scoring, and data processing services with a focus on enhancing performance, scalability, and cost efficiency.
• Participate in on-call duties, maintaining the operational health of critical services, responding to incidents, and implementing post-incident improvements.
• Conduct design and code reviews to ensure high-quality standards, while mentoring less experienced engineers.
• Identify and implement platform-wide improvements that benefit multiple teams and services.

Qualifications and Skills

• Proven experience in developing production-grade backend services using modern software engineering practices.
• Strong skills in Python, with a history of writing performant, thoroughly tested code suitable for deployment.
• Experience managing containerized applications on Kubernetes within cloud environments such as AWS, GCP, or Azure.
• Familiarity with data warehousing and analytics tools like Snowflake, Iceberg, Trino, or Postgres.
• Hands-on experience deploying and managing ML models in production, with knowledge of MLOps tools like MLflow.
• Ability to work independently, take ownership of systems, and deliver results despite ambiguous requirements.
• Experience with on-call responsibilities and contributing to operational excellence.
• Educational background in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.

Preferred Skills

• Experience with gradient-boosted trees, neural networks, and optimization solvers in real-world applications.
• Knowledge of data orchestration tools such as Prefect, Airflow, or dbt, and modern data lake architectures.
• Experience working closely with data scientists to operationalize research code.
• Multi-cloud experience across AWS, GCP, and Azure.
• Background in forecasting, demand planning, or supply chain and retail domains.

Our Commitment to Diversity and Inclusion

We believe that attracting diverse talent and fostering an inclusive environment enhances our innovation and business success. We are committed to respecting and valuing all individuals regardless of gender identity, sexual orientation, religion, ethnicity, age, neurodiversity, disability, citizenship, or other personal characteristics. We ensure reasonable accommodations for individuals with disabilities during the application and employment process. For any questions about accommodations, please contact us.

Important Notices

Beware of fraudulent job offers circulating online. Anaplan does not send unsolicited job offers via email and will only extend offers after a thorough interview process involving our recruitment team and hiring managers. All official communications will come from an @anaplan.com email address. If you have any doubts about the authenticity of a communication, contact us at [email protected].

Degree Requirement: Not Specified

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