Machine Learning (ML) Lead

Ethereum Technologies LLC; Sunnyvale (CA); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Health insurance

401(k)

Job summary

Ethereum Technologies is seeking an experienced ML Lead in Sunnyvale, CA to design, develop, optimize, and deploy ML-based solutions. You will oversee end-to-end machine learning pipelines, including data preprocessing, model selection, training, inference, and implementation.

The role emphasizes strong leadership, collaboration with security/IT, and the deployment of scalable ML infrastructure across product platforms using PyTorch, TensorFlow, and related tools. Remote work is not specified.

Qualifications

• Strong programming in Python and R.
• Hands-on ML experience and predictive modeling.
• Proficiency with PyTorch and TensorFlow.
• Experience with deep learning, model deployment, and ML infrastructure.

Responsibilities

• Collect, preprocess, and integrate datasets from multiple sources.
• Develop predictive models for business use cases.
• Evaluate models, perform statistical analysis, and monitor deployed models.
• Design scalable ML infrastructure for data processing.
• Develop and deploy ML algorithms across product platforms.
• Collaborate with security and IT to ensure data privacy.
• Communicate model performance and project progress to stakeholders.
• Demonstrate leadership in problem solving and project management.

Tools

MLLib

PyTorch

TensorFlow

Python

R

Supervised Learning

Unsupervised Learning

Clustering

Dimensionality Reduction

Model Training

Model Inference

Model Optimization

KV Cache Optimization

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.