As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage ...
As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage ...
As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...
As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...
They are seeking a Machine Learning Engineer to join their Offline Infrastructure team, where the role involves building and evolving infrastructure for training data generation and ML workflows.
They are seeking a Machine Learning Engineer to join their Offline Infrastructure team, where the role involves building and evolving infrastructure for training data generation and ML workflows.
Senior Machine Learning Engineer
San Francisco, CA · On-site
$150K - $200K/yr
We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas ... As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how ...
Senior Machine Learning Engineer
San Francisco, CA · On-site
$150K - $200K/yr
We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas ... As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how ...
Machine Learning Engineer
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Quick apply
Machine Learning Engineer
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Machine Learning Engineer
San Jose, CA · On-site
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...
Machine Learning Engineer
San Jose, CA · On-site
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...
The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery
South San Francisco, CA · On-site
$125K - $172K/yr
They are seeking a Machine Learning Engineer to enhance ML infrastructure and collaborate with data scientists, while a Senior Machine Learning Engineer will lead technical solutions and mentor ...
Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery
South San Francisco, CA · On-site
$125K - $172K/yr
They are seeking a Machine Learning Engineer to enhance ML infrastructure and collaborate with data scientists, while a Senior Machine Learning Engineer will lead technical solutions and mentor ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...
Machine Learning Engineer
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Quick apply
Machine Learning Engineer
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
San Francisco, CA · On-site
$164K - $266K/yr
What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...
Machine Learning Engineer
San Francisco, CA · On-site
$164K - $266K/yr
What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...
Machine Learning Engineer
San Jose, CA · On-site
As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine ...
Machine Learning Engineer
San Jose, CA · On-site
As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150K - $180K/yr
Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$164K - $266K/yr
What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$164K - $266K/yr
What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...
Machine Learning Engineer Opt information
What are Machine Learning Engineers?
Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.
What is the difference between Machine Learning Engineer Opt vs Data Scientist?
| Aspect | Machine Learning Engineer Opt | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; certifications in ML tools | Bachelor's or Master's in CS, Statistics, or related fields; data analysis certifications |
| Work Environment | Develops, tests, and deploys ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, AI startups, e-commerce, finance | Research institutions, tech firms, consulting, finance |
| Common Search & Comparison | Often compared for technical skills and deployment focus | Compared for data analysis and business insights |
Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.
What are some common challenges Machine Learning Engineers face when deploying models to production environments?
Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in California? For Machine Learning Engineer Opt jobs in California, the most frequently searched job titles are:
- Urgently Hiring Machine Learning Engineer New Grad
- Machine Learning Developer
- Machine Learning Engineer Intern
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer
- Internship Machine Learning Engineer New Grad
- Contract Machine Learning Engineer Biotech
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Senior Machine Learning Engineer Biotech
What job categories do people searching Machine Learning Engineer Opt jobs in California look for? The top searched job categories for Machine Learning Engineer Opt jobs in California are:
- Principal Machine Learning Engineer
- Bioinformatics Machine Learning Internship
- Summer Containerization
- Machine Learning Algorithms
- Machine Learning Manager
- Machine Learning Compiler Engineer
- Internship Machine Learning Chemistry
- Learning Management System Intern
- Machine Learning Research Engineer
- Embedded Machine Learning Internship
What cities in California are hiring for Machine Learning Engineer Opt jobs? Cities in California with the most Machine Learning Engineer Opt job openings:
Job description
Job Summary:
Atoms is building the machines that power the next era of progress. As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry.
Responsibilities:
• Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative Teamwork: Work closely with a team to enhance and support technology
• Innovation: Drive innovation within the team and support CSS’ technological advancements
Qualifications:
Required:
• Bachelors degree required
• Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
• High energy rapid software development, iterating and pivoting quickly
• Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
• Proficient in Python; Familiarity with Java/Go
• Experience with data analysis and visualization
• Strong communication and presentation skills
Preferred:
• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2026, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Atoms is building the machines that power the next era of progress. As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry.
Responsibilities:
• Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative Teamwork: Work closely with a team to enhance and support technology
• Innovation: Drive innovation within the team and support CSS’ technological advancements
Qualifications:
Required:
• Bachelors degree required
• Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
• High energy rapid software development, iterating and pivoting quickly
• Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
• Proficient in Python; Familiarity with Java/Go
• Experience with data analysis and visualization
• Strong communication and presentation skills
Preferred:
• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2026, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Atoms
Sourced by ZipRecruiter
Industry
Specialized design services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2018