Staff ML Engineer, Fine Tuning - Slack
InformaticaBase Salary
$197k - $314k/yr
Responsibilities
- Design and execute fine-tuning strategies for large language models and deep learning architectures for Slack NLP tasks.
- Own the end-to-end model training lifecycle, including data curation, training infrastructure, hyperparameter optimization, evaluation, deployment, and monitoring.
- Build and maintain scalable fine-tuning pipelines on GPU infrastructure.
- Ship fine-tuned models to production that serve real users at scale.
- Collaborate with product managers, designers, and frontend engineers to build new product features.
- Lead or heavily contribute to large, high-impact cross-functional projects.
- Lead technical architecture discussions and drive technical decisions.
- Mentor engineers and conduct deep code reviews.
- Improve engineering standards, tooling, and processes.
Requirements
- 5+ years of hands-on experience training and fine-tuning deep learning models in NLP or a closely related domain such as speech, information retrieval, or multimodal systems.
- 5+ years of experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Demonstrated experience shipping fine-tuned models to production for real users at scale.
- Experience with one or more of PHP, Python, Ruby, Go, C, Scala, or Java.
- Ability to measure success for complex machine learning and AI products using analytical and data-driven methods.
- Experience leading technical architecture discussions and driving technical decisions.
- Ability to write understandable, testable, maintainable code.
- Strong communication skills and ability to explain complex technical concepts to designers, support teams, and other specialists.
- Preferred experience with recommendation systems or search.
- Preferred familiarity with inference optimization techniques including quantization, pruning, speculative decoding, and compilation.
- Preferred experience with retrieval-augmented generation and hybrid retrieval/generation systems.
- Preferred broad experience across NLP, machine learning, and generative AI, including structured, unstructured, and knowledge-graph data in RAG solutions.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- The stated base salary range is $197,300–$313,700 annually; select San Francisco and New York City metropolitan locations have a $237,700–$344,700 annual range.
- Salesforce provides reasonable accommodations during the application and recruiting process.
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