Jobright.ai
Join to apply for the
Machine Learning Engineer
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: iTradeNetwork, Inc. is a company dedicated to providing advanced supply chain software and insights tailored to the food & beverage industry. They are seeking a Machine Learning Engineer who will design, develop, and deploy scalable machine learning solutions to drive growth and impact within their innovative team. Responsibilities: • Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment. • AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation. • Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools. • ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis. • LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems. • MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models. • Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure. • Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions. • Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems. Qualifications: Required: • Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree! • 8+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering. • Proven ability to develop and deploy ML models with minimal requirements. • Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge). • Expertise in Python and Java for building production-grade ML systems. • Strong experience with cloud platforms like GCP, AWS, or Azure. • Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring. • Ability to quickly understand and implement complex data models and algorithms. • Strong problem-solving, analytical thinking, and debugging skills. • Excellent communication and collaboration abilities. • Must be able to demonstrate lawful ability to work in the United States Company: iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. Founded in 1999, headquartered in Pleasanton, California, USA, team size 51-200 employees, currently Growth Stage. iTradeNetwork, Inc. has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . Research Engineer - Machine Learning (ML)
San Francisco, CA $180,000.00-$240,000.00 3 weeks ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $140,000.00-$235,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $160,000.00-$185,000.00 6 days ago San Francisco, CA $150,000.00-$260,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $119,800.00-$206,690.00 6 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $180,000.00-$270,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $130,000.00-$238,000.00 2 days ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $130,000.00-$170,000.00 4 days ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Francisco, CA $190,000.00-$355,000.00 4 weeks ago San Francisco, CA $100,000.00-$300,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 2 months ago San Francisco, CA $180,000.00-$280,000.00 3 days ago San Francisco, CA $160,000.00-$180,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Machine Learning Engineer
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: iTradeNetwork, Inc. is a company dedicated to providing advanced supply chain software and insights tailored to the food & beverage industry. They are seeking a Machine Learning Engineer who will design, develop, and deploy scalable machine learning solutions to drive growth and impact within their innovative team. Responsibilities: • Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment. • AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation. • Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools. • ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis. • LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems. • MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models. • Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure. • Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions. • Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems. Qualifications: Required: • Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree! • 8+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering. • Proven ability to develop and deploy ML models with minimal requirements. • Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge). • Expertise in Python and Java for building production-grade ML systems. • Strong experience with cloud platforms like GCP, AWS, or Azure. • Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring. • Ability to quickly understand and implement complex data models and algorithms. • Strong problem-solving, analytical thinking, and debugging skills. • Excellent communication and collaboration abilities. • Must be able to demonstrate lawful ability to work in the United States Company: iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. Founded in 1999, headquartered in Pleasanton, California, USA, team size 51-200 employees, currently Growth Stage. iTradeNetwork, Inc. has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . Research Engineer - Machine Learning (ML)
San Francisco, CA $180,000.00-$240,000.00 3 weeks ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $140,000.00-$235,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $160,000.00-$185,000.00 6 days ago San Francisco, CA $150,000.00-$260,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $119,800.00-$206,690.00 6 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $180,000.00-$270,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $130,000.00-$238,000.00 2 days ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $130,000.00-$170,000.00 4 days ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Francisco, CA $190,000.00-$355,000.00 4 weeks ago San Francisco, CA $100,000.00-$300,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 2 months ago San Francisco, CA $180,000.00-$280,000.00 3 days ago San Francisco, CA $160,000.00-$180,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr