Note: The job is a remote job and is open to candidates in USA. 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. The Senior ML Engineer will own the production ML lifecycle, ensuring that the models are fast, reliable, and continuously improving in production while collaborating with product teams to enhance customer experiences.
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, so product teams never have to wait on the platform
- 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
Skills
- 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)
- B.S. in Computer Science, Engineering, Statistics, or equivalent
- Experience operating models in an agentic or multi-step AI workflow context is a strong plus
- Advanced degree a plus
- Familiarity with RLHF or preference training is a bonus
Benefits
- Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
- Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
- Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family.
- Fertility assistance is also included.
- Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
- Stock Options – All employees are invited to share in Invoca’s success through stock options.
- Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program.
- Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
- Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
- InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
- Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
Company Overview