Senior ML Engineer

Invoca

Senior ML Engineer leading productionization of ML models at Invoca. Collaborating closely with Data Scientists and Engineers to deliver efficient ML solutions.

Posted 5/22/2026full-timeRemote • California, Colorado, Illinois, New York, Texas • 🇺🇸 United StatesSenior💰 $152,000 - $228,000 per yearWebsite

Tech Stack

Tools & technologies

KubernetesPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

MLOpsCI/CD pipelinesPythondeep learningtransformer-based modelsfine-tuningquantizationbatchingmodel optimizationNLP

Soft Skills

collaborationcustomer focuscommunication

Certifications

B.S. in Computer ScienceB.S. in EngineeringB.S. in Statistics