Pleasanton, CA · On-site
$110 - $150/hr
... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...
Pleasanton, CA · On-site
$110 - $150/hr
... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...
San Francisco, CA · On-site
About the role As a Machine Learning Intern at Droyd, you'll work directly on the learning and ... You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to ...
San Francisco, CA · On-site
About the role As a Machine Learning Intern at Droyd, you'll work directly on the learning and ... You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to ...
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...
San Francisco, CA · On-site +1
$120K - $159K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
San Francisco, CA · On-site +1
$120K - $159K/yr
Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
San Francisco, CA · On-site
$140 - $200/hr
Applied Machine Learning Engineer Assist in generalizing learnings into the core Snorkel Flow platform. Location: San Francisco Bay Area, Seattle, Los Angeles, New York Compensation: $140,000 - 200 ...
San Francisco, CA · On-site
$140 - $200/hr
Applied Machine Learning Engineer Assist in generalizing learnings into the core Snorkel Flow platform. Location: San Francisco Bay Area, Seattle, Los Angeles, New York Compensation: $140,000 - 200 ...
San Francisco, CA · On-site
$180 - $260/hr
The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...
San Francisco, CA · On-site
$180 - $260/hr
The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...
As an Engineering Intern, you will join the Machine Learning Team in Winter 2027 (Middle of January-April) to develop robust, well-designed products, implement new updates and features, and solve ...
As an Engineering Intern, you will join the Machine Learning Team in Winter 2027 (Middle of January-April) to develop robust, well-designed products, implement new updates and features, and solve ...
San Francisco, CA · On-site
$204 - $299/hr
About The Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end--from feature engineering and model development to experimentation, deployment ...
New
San Francisco, CA · On-site
$204 - $299/hr
About The Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end--from feature engineering and model development to experimentation, deployment ...
New
About the Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end-from feature engineering and model development to experimentation, deployment ...
About the Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end-from feature engineering and model development to experimentation, deployment ...
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
Quick apply
We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...
The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...
San Francisco, CA · On-site
$250K - $385K/yr
The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...
San Francisco, CA · On-site
$250K - $385K/yr
The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...
This role We're looking for a machine learning engineers who can work on large-scale image and video models training experiments. What you'll do * Train foundation diffusion models for image and ...
This role We're looking for a machine learning engineers who can work on large-scale image and video models training experiments. What you'll do * Train foundation diffusion models for image and ...
San Francisco, CA · On-site
$160 - $230/hr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
San Francisco, CA · On-site
$160 - $230/hr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
San Francisco, CA · On-site +1
$140K - $190K/yr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
San Francisco, CA · On-site +1
$140K - $190K/yr
As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...
San Francisco, CA · On-site +1
$120K - $159K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
San Francisco, CA · On-site +1
$120K - $159K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
San Francisco, CA · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
San Francisco, CA · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
San Francisco, CA · On-site
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
San Francisco, CA · On-site
$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
$123K - $169K/yr
We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...
$123K - $169K/yr
We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...
$28.3K - $34.7K
5% of jobs
$36.8K is the 25th percentile. Wages below this are outliers.
$34.7K - $41K
59% of jobs
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$97.8K
Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.
To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.
$110 - $150/hr
Other
Posted 7 days ago
Drishticon is a Silicon Valley-based IT consulting and technology solutions company specializing in enterprise ecommerce, cloud technologies, systems integration, digital transformation, and mission-critical business platforms. We partner with startups and Fortune 500 organizations to deliver innovative, scalable, and cost-effective technology solutions through onsite and offshore delivery models.
We are searching a ML Engineer for one of our direct clients in Pleasanton CA.
Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes. This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.
SKILLS:Drishticon is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, or any other legally protected characteristic under applicable federal, state, or local laws.
