Machine Learning Engineer – Speech, Natural Language

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate candidate architectures and modeling techniques based on operational accuracy, latency, and resource usage.

• Create synthetic data generation tools and augmentation pipelines.

• Organize and curate data obtained from field operations.

• Train and enhance speech recognition and natural language models tailored for specialized, noisy, and degraded environments.

• Optimize model latency and memory consumption using performance benchmarks.

• Transform research-grade code into efficient production inference runtimes.

• Develop evaluations to assess the effectiveness of operator commands in real-world scenarios.

• Convert field failures into test cases, training data, and solutions.

• Enhance model training, tracking, evaluation, and deployment workflows.

• Collaborate with the engineering team through code reviews, technical discussions, and team Q&A sessions.

⛳️ Requirements

• Extensive hands-on experience in training, optimizing, and deploying machine learning models within production environments.

• In-depth, practical experience in speech recognition and natural language understanding, including model adaptation for specialized domains.

• Strong proficiency in Python and contemporary deep learning frameworks, including custom training loops, data pipelines, and evaluation tools.

• Proven track record of significantly improving model speed or size, validated by benchmarks.

• Practical experience transitioning models from frameworks and research code to an efficient, deployable inference pathway.

• A degree in Computer Science, Electrical Engineering, Computational Linguistics, or a related technical discipline, or equivalent proof of capability.

• Valid authorization to work in the U.S.

• Ability to work independently across time zones with clear written communication skills.

• Applicants must not require visa sponsorship.

• Desirable: experience in deploying models on embedded or resource-constrained GPU hardware.

• Desirable: background in defense, robotics, or autonomy.

• Desirable: familiarity with experiment tracking, model registries, and automated evaluation processes.

🏝️ Benefits

• Significant equity stake.

• 100% remote work opportunity for residents throughout the U.S.

• Comprehensive medical, dental, and vision benefits for employees and their families.

• 401(k) plan with a generous 6% company match.

• Generous Discretionary Time Off (DTO).

• Elite technology package.