Staff ML Engineer

About Us:

Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry!

Responsibilities:

As a Sr. ML Engineer, your primary responsibilities will be to own end-to-end machine learning projects. You will be tasked with designing, developing, and deploying high-performance ML models to solve complex, green-field problems at scale. This includes defining use cases, curating and engineering large-scale datasets, selecting appropriate tools and technologies, building and validating production-grade models, and optimizing them for cost, performance, and latency. You will be integral to ensuring that our ML solutions are robust, scalable, and impactful from ideation through to deployment and evaluation.

• Conduct thorough analysis of data to identify patterns, trends, and anomalies to generate lineage graphs, predict dataflows, identify break code challenges
• Develop and implement machine learning models and algorithms to build ML & AI deployments ground-up, 0 → 1
• Responsible for LLM integration focused on producing human readable interpretations of analysis results
• Build traditional ML models from the ground up to power core pieces of our product

Requirements

• 5+ years of experience as a ML engineer or Data Scientist- ideally at an early stage or high growth startup - specializing in machine learning algorithms
• Past experience building algorithms from 0 → 1 and an entrepreneurial mindset
• Proven experience in building and deploying machine learning models in the context of search ranking or recommendation systems.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Proficiency in working with large datasets, data preprocessing, and feature engineering.
• Knowledge of information retrieval, natural language processing, and ranking algorithms.
• Ability to work cross functionally with growth, engineering, product, and an executive team
• Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment.
• Strong programming skills in Python and SQL.

Tech Stack:

• TypeScript
• Python
• Node
• Postgres
• AWS
• Snowflake

Benefits

Why Join Us:

• Be part of a pioneering team that is redefining the data industry.
• Work on cutting-edge technology with the opportunity to make a significant impact.
• Collaborate with a talented and passionate team of engineers and industry experts.
• Enjoy a dynamic, fast-paced, and supportive work environment.
• Competitive compensation package and benefits.

If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you.

Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.