Software Engineer II, Machine Learning - Slack
InformaticaResponsibilities
- Develop machine learning models for ranking, retrieval, and generative AI use cases.
- Design and implement product features, services, API methods, and models for Slack.
- Build sustainable data collection pipelines and manage ML features.
- Lead or make substantial contributions to large cross-functional projects with significant business impact.
- Own features or systems, define their long-term health, and improve surrounding systems.
- Assist support and operations teams with production issue triage and resolution.
- Mentor engineers, conduct deep code reviews, and improve engineering standards, tooling, and processes.
- Collaborate with product managers, designers, and frontend engineers to conceptualize and build product features.
Requirements
- Experience with PHP, Python, Ruby, Go, C, Scala, or Java.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, Keras, XGBoost, or scikit-learn.
- Experience building batch data processing pipelines with tools such as Apache Spark, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi.
- Experience fine-tuning LLMs or BERT models.
- Experience deploying machine learning models or other data-derived artifacts into production at scale.
- Ability to lead technical architecture discussions and drive technical decisions.
- Ability to write understandable, testable, maintainable code.
- Strong computer science fundamentals in data structures, algorithms, programming languages, distributed systems, and information retrieval.
- Strong communication skills and ability to explain complex technical concepts to non-engineering specialists.
- Bachelor's degree in computer science, engineering, statistics, mathematics, or a related field, or equivalent training, fellowship, or work experience.
- Preferred: expertise in conversational agentic systems, retrieval systems, search algorithms, vector databases, embeddings, structured and unstructured data, knowledge graphs, RAG solutions, NLP, machine learning, and generative AI.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee wellbeing.
- Salesforce provides reasonable accommodations during the application and recruiting process.
- For Ontario-based roles, the stated base salary range is CAD 130,300 to CAD 179,200 annually, excluding bonus, equity, and benefits.
Tech Stack
Categories
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com