AI Phone - Applied ML / Model Engineer

United States · Remotefull timeRemote

Apply on Employer Site

AI Phone - Applied ML / Model Engineer at Bjakcareer · LumiJobs

H1B: no

Bjakcareer AI Phone - Applied ML / Model Engineer at Bjakcareer focused on evaluating and fine-tuning foundation models for phone use cases. Improve model performance and build evaluation benchmarks for AI phone workflows.

Responsibilities

Evaluate existing foundation models (e.g. Qwen, Llama, Gemma and other suitable open-weight models) against our target phone use cases.
Identify which capabilities can be handled by existing models and where additional model adaptation or fine-tuning is needed.
Experiment with SFT, LoRA/QLoRA and other lightweight fine-tuning techniques for specific use cases.
Improve model performance for intent recognition, instruction following, tool calling, structured outputs, and multi-step task execution.
Explore synthetic data generation and dataset construction for phone-specific workflows.
Build evaluation datasets and benchmarks to measure model quality, reliability, and task completion.
Compare different models and approaches, including local versus cloud inference.
Work closely with the Agent Runtime team to improve model performance in actual agent workflows.

Qualification

Strong background in Machine LearningExperience with model fine-tuningUnderstanding of LLM evaluationAbility to run experimentsExperience with agentic systems

Required

Strong background in Machine Learning, Deep Learning, or NLP.
Practical experience working with LLMs and open-weight models.
Experience with model fine-tuning, such as SFT, LoRA/QLoRA, and preferably RL or preference optimization.
Experience with PyTorch and common ML tooling.
Understanding of LLM evaluation, benchmarking, and dataset preparation.
Ability to run experiments, analyze model failures, and translate findings into measurable improvements.

Preferred

Experience with agentic systems, function calling, and tool-use training.
Experience with synthetic data generation and preference datasets.
Experience with model distillation and smaller language models.
Experience with deploying models in production environments.

Company

Bjakcareer

View company page

Source: ashby

Active within the past hour

Remote-friendly

More roles at Bjakcareer

Senior Machine Learning Engineer

United States · Remote

Product Manager - AI Stockbroking App

United States · Remote

Product Lead - AI Neobank App

United States · Remote

Product Lead - AI Investing App

United States · Remote

Boost Your Interview Chances

Improve Resume Match Score

Free

Your Score

9.0

Strong Applicant

Must-Have Skills for This Role

Machine LearningDeep LearningNLPLLMsQwenLlama

Optimize my Resume

Apply Faster with Autofill

Free

Save your profile once. LumiJobs pre-fills the employer's application form so you stop re-typing the same answers on every site.

Apply With Autofill

Or skip LumiJobs's tools and submit directly on the employer's career site.

Apply on Employer Site