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About the Role
AI is the product. This role focuses on production leverage, turning trained models into dependable, high-throughput services that Data Scientists, Applied AI Engineers, and product teams build on daily. Success is measured by how quickly product teams can ship intelligent, differentiated customer experiences on top of the models and infrastructure owned, how reliably those experiences hold up as usage scales, and how much work accelerates Invoca's ability to innovate with AI.
Responsibilities
- Architect, implement, and maintain CI/CD pipelines for ML artifacts, including automated evaluation, versioning, and deployment.
- Serve as the primary SME for operational excellence across the Invoca ML stack: uptime, latency, throughput, and cost.
- Treat model serving as a product with real customers, the product teams who build on it, and hold yourself accountable to their ability to ship.
- Own inference infrastructure end to end: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure.
- Profile and tune for low latency and high throughput; build robust, scalable APIs for internal and external model access.
- Continuously look for step-function improvements in inference cost and speed, not just incremental tuning.
- Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
- Connect fine-tuning decisions directly to the customer experiences they enable, not just benchmark scores.
- Contribute to model training infrastructure, data pipelines, and data lake foundations that keep the systems powering our models reliable and scalable.
- Build evaluation and monitoring practices (Braintrust, MLflow, or equivalent) that catch regressions before customers do.
- Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
- Work directly with product teams to understand what they need to ship, and remove whatever is standing between them and shipping it.
Requirements
- 5+ years of ML Engineering experience with a strong production focus
- Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)
- Demonstrated track record deploying and maintaining transformer-based NLP models in production
- Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning
- Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar
- Experience building production-grade APIs that expose ML models to downstream consumers
- Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent)
- Experience operating models in an agentic or multi-step AI workflow context is a strong plus
- Familiarity with RLHF or preference training is a bonus
Skills
- Python
- PyTorch
- HuggingFace Transformers
- spaCy
- LoRA
- QLoRA
- PEFT
- Triton Inference Server
- Baseten
- Kubernetes
- GPU infrastructure
- MLOps
- Braintrust
- MLflow
- RLHF
Location
- Remote
- United States: Greater Los Angeles Area
- United States: SF Bay Area
- United States: Denver Metro
- United States: Austin Metro
- United States: Chicago Metro
- United States: Greater NYC Area
- Canada: Toronto
Work Type
- Remote-first
- Full-time
Experience Level
- Senior
Education Level
- B.S. in Computer Science, Engineering, Statistics, or equivalent
- Advanced degree a plus
Salary/Compensations
- $152,000 - $228,000 USD plus bonus + equity
Benefits
- Flexible Time Off
- Paid Holidays (16 US holidays, including winter break)
- Health Benefits (medical, dental, vision, fertility assistance)
- 401(k) plan through Fidelity with a company match of up to 4%
- Stock Options
- Mental Health Program (SpringHealth)
- Paid Family Leave (up to 6 weeks)
- Paid Medical Leave (up to 12 weeks)
- InVacation (bonus after 7 years of service)
- Wellness Subsidy
About the Company
- Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth.
- Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.
- The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs.
- We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth.
Equal Opportunity
- Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required.
- Please note that we are unable to provide initial visa sponsorship for this position.