[Remote] Senior ML Engineer

Note: The job is a remote job and is open to candidates in USA. Invoca is an AI-powered revenue execution platform that focuses on turning customer interactions into measurable growth. They are seeking a Senior ML Engineer to lead the productionization of their ML stack, including model serving and inference optimization, while collaborating with various teams to deliver impactful ML solutions.

Responsibilities

• Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts — including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack
• Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access
• Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence
• Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable
• Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products
• Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference

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; 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

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