LMTS - Lead AI/ML Engineer (LLM Post-Training)
InformaticaResponsibilities
- Train, adapt, fine-tune, evaluate, and serve open-weight language models for enterprise workflows.
- Own post-training experiments using SFT, LoRA/QLoRA, DPO, ORPO, GRPO, RLVR, distillation, and other preference or reinforcement-learning methods.
- Generate, curate, filter, version, and quality-control synthetic instruction data, conversations, reasoning traces, tool calls, preference pairs, and structured-output datasets.
- Build the data engine for provenance, deduplication, contamination controls, dataset splitting, packing, tokenization, and loss masking.
- Design held-out evaluations, human and model-based reviews, error taxonomies, ablation studies, regression analysis, and safety assessments.
- Investigate failures across data, objectives, model behavior, prompts, retrieval, tools, context handling, and serving systems.
- Build production-grade model-serving, inference, tool-integration, structured-output, function-calling, and multi-step agent capabilities.
- Improve observability, traceability, testing, developer workflows, security, scalability, and operational reliability across the training and serving lifecycle.
- Collaborate with domain experts to convert enterprise workflows and failure cases into verifiable training and evaluation material.
- Make architecture and design decisions, review technical changes, mentor engineers, and provide technical leadership.
Requirements
- 10+ years of software engineering experience, including technical leadership on production systems.
- Strong Python engineering experience building and maintaining reliable production systems.
- Hands-on ownership of LLM post-training, including materially improving open-weight language models through SFT and LoRA/QLoRA; API integration alone does not qualify.
- Hands-on experience generating, filtering, reviewing, and versioning task-specific training datasets.
- Practical understanding of chat templates, tokenizer behavior, sequence packing, loss masking, optimization schedules, checkpointing, distributed or memory-efficient training, and inference tradeoffs.
- Experience creating and evaluating reasoning, tool-use, or structured-output training data and understanding their correctness and failure modes.
- Experience with held-out datasets, quality metrics, experiment design, ablation studies, regression analysis, and human-review workflows.
- Strong software-engineering fundamentals in API design, testing, debugging, observability, version control, and technical writing.
- Ability to investigate ambiguous failures across models, data, prompts, retrieval, tools, and backend services.
- Demonstrated leadership in architecture, design reviews, code reviews, and mentoring engineers.
- Ability to work across application and ML layers and use AI tools effectively in development workflows.
- Advanced prompt-engineering skills and ability to create precise, structured prompts and reliable system context.
- Preferred experience with enterprise platforms, APIs, data systems, identity controls, tool-using AI applications, and complex or regulated-industry workflows.
- Preferred deep experience with LLM preference optimization or reinforcement learning, distributed or resource-constrained training and inference, retrieval evaluation, security and data governance, and production AI releases.
Benefits
- Salesforce provides benefits and resources intended to support balance and personal well-being.
- The role follows Salesforce's hybrid work model.
- Salesforce offers 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