Applied Machine Learning Engineer jobs in United States
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Nooks · 4 hours ago

Applied Machine Learning Engineer

Nooks is an AI Sales Assistant Platform that automates sales tasks to enhance productivity for sales representatives. The role focuses on implementing machine learning features to improve model accuracy for sales use cases, aligning technical strategy with performance and feasibility considerations.

Artificial Intelligence (AI)Information TechnologyProductivity ToolsSales Automation
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H1B Sponsor Likelynote

Responsibilities

Training production models to improve their accuracy for specific sales use cases
Align our technical strategy with performance, cost and feasibility considerations

Qualification

Machine LearningPythonNLPDeep LearningTensorFlowPyTorchKerasScikit-learnLarge Language ModelsData ScienceStatisticsSoft Skills

Required

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
3+ years of industry experience, including 2+ years training and deploying ML models in production
Full stack ML Eng chops: proficiency in general purposes programming languages such as Python/Javascript, and with libraries like TensorFlow, PyTorch, Keras, scikit-learn etc
Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models

Preferred

Background in an analytical field like heuristics, data science &/or statistics
Prior experiences working in both startup and research environments

Benefits

Equity
Generous perks
Comprehensive benefits

Company

Nooks

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Nooks is an applied AI lab that powers modern sales teams.

H1B Sponsorship

Nooks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (2)
2023 (1)

Funding

Current Stage
Growth Stage
Total Funding
$70M
Key Investors
Kleiner PerkinsLachy GroomTola Capital
2024-10-22Series B· $43M
2024-04-24Series A· $22M
2021-07-14Seed· $5M

Leadership Team

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Daniel Lee
Co-Founder, CEO
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Company data provided by crunchbase