Machine Learning (ML) Lead

Quantum Technologies LLC; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies. LLC in Sunnyvale, CA seeks an experienced Machine Learning Lead to design, develop, optimize, and deploy ML-based solutions across scalable product platforms.

You will manage end-to-end pipelines, from data preprocessing to inference, with a focus on model training, optimization, and deployment. The ideal candidate brings expertise in PyTorch, TensorFlow, and deep learning, plus experience with KV cache optimization and scalable ML infrastructure.

Qualifications

• Proficient in Python and R for ML projects.
• Hands-on ML and predictive modeling experience.
• Strong PyTorch and TensorFlow expertise.
• Experience with Deep Learning and neural networks.
• Knowledge of MLLib and ML tooling.
• Experience with supervised/unsupervised learning, clustering, and dimension reduction.
• Expertise in Model Training, Inference, Optimization, and KV Cache Optimization.

Responsibilities

• Collect, preprocess, and integrate datasets from multiple sources into proprietary platforms.
• Perform Exploratory Data Analysis (EDA) and develop predictive models for various business use cases.
• Evaluate model performance, analyze statistics, and monitor deployed models.
• Design, architect, and implement scalable Machine Learning Infrastructure for data processing.
• Develop, optimize, and deploy ML algorithms across scalable product platforms.
• Collaborate with security and IT teams to ensure data privacy and security.
• Apply various machine learning techniques, including supervised and unsupervised learning, clustering, and dimension reduction.
• Communicate model performance, project progress, and technical solutions to stakeholders.
• Demonstrate strong problem-solving, team management, project management, and customer experience development skills.

Skills

Python

R

Machine Learning

PyTorch

TensorFlow

Deep Learning

MLLib

Model Training

Model Inference

Model Optimization

KV Cache Optimization

Supervised Learning

Unsupervised Learning

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are seeking an experienced Machine Learning (ML) Lead to design, develop, optimize, and deploy ML-based solutions. The ideal candidate should have strong expertise in Model Inference, Model Optimization, KV Cache Optimization, Model Training, and Deep Learning.

The candidate will be responsible for managing the end-to-end machine learning pipeline, including data preprocessing, model selection, training, inference, and implementation.

Key Responsibilities:

• Collect, preprocess, and integrate datasets from multiple sources into proprietary platforms.
• Perform Exploratory Data Analysis (EDA) and develop predictive models for various business use cases.
• Evaluate model performance, conduct statistical analysis, and continuously monitor deployed models.
• Design, architect, and implement scalable Machine Learning Infrastructure for data processing.
• Develop, optimize, and deploy ML algorithms across scalable product platforms.
• Collaborate with security and IT teams to ensure data privacy and security.
• Apply various machine learning techniques, including supervised and unsupervised learning, dimension reduction, decision trees, random trees, boosted decision trees, neural networks, deep learning, reinforcement learning, and clustering methods.
• Work closely with stakeholders and effectively communicate model performance, project progress, and technical solutions.
• Demonstrate strong problem-solving, team management, project management, and customer experience development skills.

Required Technical Skills:

• Strong programming and scripting experience in Python and R.
• Hands-on experience with Machine Learning and predictive modeling.
• Strong expertise in PyTorch and TensorFlow.
• Experience with Deep Learning and neural networks.
• Knowledge of MLLib.
• Experience with Supervised and Unsupervised Learning, clustering, and dimension reduction techniques.
• Expertise in Model Training, Model Inference, Model Optimization, and KV Cache Optimization.

Preferred Qualifications:

• Experience designing and packaging ML algorithms for scalable platforms and products.
• Strong analytical and problem-solving skills.
• Excellent communication, collaboration, and stakeholder management abilities.
• Ability to manage teams, projects, and multiple priorities effectively.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.