griddable.io · 11 hours ago
Software Engineer, Machine Learning (Senior, SWE II & SWE I)
San Francisco, CA
Full-time
Onsite
Entry, Mid, Senior LevelGriddable.io is seeking a Machine Learning Engineer to craft and implement features and models that enhance the Slack experience. The role involves leveraging machine learning expertise to drive improvements, develop models, and collaborate with cross-functional teams to build impactful features for a large user base.
AnalyticsBig DataCloud Data ServicesData IntegrationInformation TechnologySaaSSoftware
Responsibilities
Leveraging machine learning and artificial intelligence subject matter expertise to drive improvements in the Slackbot experience
Develop ML models supporting ranking, retrieval, and generative AI use-cases
Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base
Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business
Actively own features or systems and define their long-term health, while also improving the health of surrounding systems
Support in the development of sustainable data collection pipelines and management of ML features
Assist our skilled support team and operations team in triaging and resolving production issues
Mentor other engineers and deeply review code
Improve engineering standards, tooling, and processes
Qualification
Required
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java
Built with common ML frameworks like PyTorch, Tensorflow, Keras, XGBoost, or Scikit-learn
Fine tuned LLMs or BERT models
Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi
An analytical and data driven mindset, and know how to measure success with complicated ML/AI products
Put machine learning models or other data-derived artifacts into production at scale
Led technical architecture discussions and helped drive technical decisions within the team
The ability to write understandable, testable code with an eye towards maintainability
Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists
Preferred
Expertise in conversational agentic systems
Expertise in retrieval systems and search algorithms
Familiarity with vector databases and embeddings
Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs
Broad experience across NLP, ML, and Generative AI capabilities
Company
griddable.io
Griddable.io is a San Jose, CA based SaaS startup that closed Series A funding in 2017 from August Capital, Artiman Ventures, and Carsten Thoma, founding CEO of Hybris (acquired by SAP).
Founded in 2016
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$8MKey Investors
Artiman Ventures,August Capital
2019-01-28Acquired
2018-02-28Series A· $8M
Leadership Team
Burton Hipp
VP of Engineering/Founder
Company data provided by crunchbase