... computer vision to tackle complex challenges. We are passionate about pushing the boundaries of ... Strong programming (Python, C++) and algorithmic skills. * Good communication skills. Curious ...
... computer vision to tackle complex challenges. We are passionate about pushing the boundaries of ... Strong programming (Python, C++) and algorithmic skills. * Good communication skills. Curious ...
... computer vision to tackle complex challenges. We are passionate about pushing the boundaries of ... Strong programming (Python, C++) and algorithmic skills. * Good communication skills. Curious ...
... computer vision to tackle complex challenges. We are passionate about pushing the boundaries of ... Strong programming (Python, C++) and algorithmic skills. * Good communication skills. Curious ...
Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ... Experience with computer vision for engineering applications. * Exposure to edge deployment: model ...
Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ... Experience with computer vision for engineering applications. * Exposure to edge deployment: model ...
Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ... Experience with computer vision for engineering applications. * Exposure to edge deployment: model ...
Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and ... Experience with computer vision for engineering applications. * Exposure to edge deployment: model ...
LLMs & Generative AI Computer Vision NLP / NLU Reinforcement Learning Recommendation Systems Time Series & Forecasting Applied Deep Learning Familiarity with modern ML engineering workflows: MLOps ...
LLMs & Generative AI Computer Vision NLP / NLU Reinforcement Learning Recommendation Systems Time Series & Forecasting Applied Deep Learning Familiarity with modern ML engineering workflows: MLOps ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
$225K - $260K/yr
We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...
$225K - $260K/yr
We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...
Required : • PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical ... ML/AI models. • Experience in deep learning frameworks like TensorFlow/Jax/Pytorch. • ...
Required : • PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical ... ML/AI models. • Experience in deep learning frameworks like TensorFlow/Jax/Pytorch. • ...
Deploy deep learning models. Design and implement dashboards to summarize key analytics for ... Bachelor's degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering ...
Deploy deep learning models. Design and implement dashboards to summarize key analytics for ... Bachelor's degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering ...
Deploy deep learning models. Design and implement dashboards to summarize key analytics for ... Bachelor's degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering ...
Deploy deep learning models. Design and implement dashboards to summarize key analytics for ... Bachelor's degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering ...
... Computer Science, Engineering, Mathematics, Physics, etc.) • 3+ years of experience in AI/ML ... traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects ...
... Computer Science, Engineering, Mathematics, Physics, etc.) • 3+ years of experience in AI/ML ... traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects ...
Principal AI Engineer
Madison, WI · On-site
... computer vision solutions. * 5+ years of project leadership experience including Agile project ... Expert ability working with machine learning frameworks, programming languages like Python, and ...
Principal AI Engineer
Madison, WI · On-site
... computer vision solutions. * 5+ years of project leadership experience including Agile project ... Expert ability working with machine learning frameworks, programming languages like Python, and ...
Machine Learning Tutor
Madison, WI · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Madison, WI · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Milwaukee, WI · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Milwaukee, WI · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Intern Computer Vision Deep Learning Engineer information
What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?
To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?
As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.
What does an Intern Computer Vision Deep Learning Engineer do?
An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.
What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?
| Aspect | Intern Computer Vision Deep Learning Engineer | Intern Machine Learning Engineer |
|---|---|---|
| Required Skills | Computer vision, deep learning, CNNs, Python, TensorFlow/PyTorch | Machine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch |
| Work Environment | Research labs, tech companies, startups focusing on image/video analysis | Tech companies, research labs, startups working on diverse ML applications |
| Industry Usage | Primarily in computer vision projects like object detection, image segmentation | Broader ML projects including predictive modeling, NLP, recommendation systems |
Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.
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What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Wisconsin? For Intern Computer Vision Deep Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
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What cities in Wisconsin are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Wisconsin with the most Intern Computer Vision Deep Learning Engineer job openings:
Instacart rating
6.7
Based on 29 frontline employees who took The Breakroom Quiz
Job description
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.
Overview
Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.
We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.
About the Team:
This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:
Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.
Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).
Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!
Past internship contributions include:
Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)
About the Job
Based on your passion and background, you may choose to work in a few different areas:
- Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
- Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
- Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
- Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
- Fraud detection and prevention - Using cost sensitive learning to reduce loss.
- Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
- Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.
About You
Minimum Qualifications:
- Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
- Strong programming (Python, C++) and algorithmic skills.
- Good communication skills. Curious, willing to learn, self-motivated, hands-on.
Preferred Qualifications:
- Ph.D. student at a top tier university in the United States
- Prior internship/work experience in the machine learning space
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role.
What Instacart employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Instacart
Sourced by ZipRecruiter
Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Francisco, CA, US
Year founded
2012