Senior Software Engineer - Applied AI, Collaboration

The Opportunity

As a Senior ML Engineer, you will be instrumental in designing, developing, and deploying applications leveraging ML to power generation of data products. You will work with cutting-edge ML techniques to transform complex metadata into actionable insights, enabling our users to discover and leverage data like never before. This is a unique chance to shape a product that fundamentally changes how organizations collaborate on data.

This is a unique opportunity to bridge ML research and production engineering , shaping a product that fundamentally changes how organizations collaborate on data.

Key Responsibilities

Design, build, and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, prompt engineering, evaluation, and deployment.

Collaborate with cross-functional teams to identify opportunities for applying ML to real-world problems.

Monitor, evaluate and improve agent performance

Stay up to date with research, frameworks, and techniques in ML / AI to apply where relevant

Minimum Qualifications

7+ years of industry experience designing, building, and supporting backend large-scale data processing systems in production

Strong software engineering fundamentals : code quality, reproducibility, CI / CD best practices, debugging, testing, and documentation.

Proficiency in Python and core ML / data science frameworks such as Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch, and related ecosystem tools.

Understanding of modern ML applications, including deploying Gen-AI / LLM-based solutions with techniques like RAG, prompt chaining, or agentic workflows

Demonstrated hands-on experience solving applied ML problems end-to-end : data ingestion / preprocessing, feature and model selection, training, evaluation , deployment, and monitoring.

Familiarity with ML operations (MLOps), data / feature versioning, and collaborative software development (Git, containers, etc.).

Strong communication and teamwork skills; able to describe technical tradeoffs and engage both research scientists and software engineers.

Fluency in Java or Python and SQL

BS / MS / PHD in Computer Science or related majors, or equivalent experience

Bonus Qualifications

Familiarity with different types of machine learning approaches (supervised, reinforcement learning, contrastive learning) and their practical constraints in large-scale, dynamic code environments

Contributions to open source ML / AI projects or scientific publications; Participations in AI / ML competitions (e.g., Kaggle)

Experience working in or with developer-facing infrastructure, build / test automation, or productionizing research prototypes

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information : careers.snowflake.com

The following represents the expected range of compensation for this role :

• The estimated base salary range for this role is $195,000 - $287,500.
• Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes : medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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