OR · On-site
Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for ... You will work closely with engineers, product managers, other teams, and both internal and external ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
$122.40K - $161.30K/yr
Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment type: Full-time Description: We are seeking a highly skilled and innovative Machine Learning Engineer ...
$122.40K - $161.30K/yr
Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment type: Full-time Description: We are seeking a highly skilled and innovative Machine Learning Engineer ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...
Senior Machine Learning Engineer, Operations Research
OR · Remote
$204.80K/yr
We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this ...
Senior Machine Learning Engineer, Operations Research
OR · Remote
$204.80K/yr
We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this ...
Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:
Senior Machine Learning Engineer
OR · On-site +1
$205K - $270K/yr
Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:
Senior Machine Learning Engineer
OR · On-site +1
$205K - $270K/yr
Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97.40K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97.40K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
We are looking for an adversarial machine learning specialist who thinks like an attacker. This ... Collaborate with engineering teams to validate remediation * Document findings clearly and ...
Quick apply
We are looking for an adversarial machine learning specialist who thinks like an attacker. This ... Collaborate with engineering teams to validate remediation * Document findings clearly and ...
$122.40K - $161.30K/yr
... Engineering, Mathematics, or a related field. * 8+/7+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI ...
Principal Machine Learning Engineer, Agentic AI
OR · On-site +1
$204.40K - $326.60K/yr
As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are ...
Principal Machine Learning Engineer, Agentic AI
OR · On-site +1
$204.40K - $326.60K/yr
As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are ...
$205K - $355K/yr
Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...
$104.40K - $143.40K/yr
About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help build the next generation of AI-powered voice systems for the contact center. In this role, you will ...
OR · On-site
... learning. What will you do? As an AI Software Engineering Intern, you will own an end-to-end ... Interns can learn about the network security industry from leading thinkers, grow their ...
OR · On-site
... learning. What will you do? As an AI Software Engineering Intern, you will own an end-to-end ... Interns can learn about the network security industry from leading thinkers, grow their ...
We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ...
OR · On-site
$104.40K - $143.40K/yr
We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation. In this role, you will define the technical vision for how machine learning powers the Instacart shopping ...
We are looking for a Sr. Machine Learning Architect to join our Machine Learning team. In this role ... You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ...
Internship Tesla Machine Learning Engineer information
What are the key skills and qualifications needed to thrive as an Internship Tesla Machine Learning Engineer, and why are they important?
To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.
What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?
Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.
What does an Internship Tesla Machine Learning Engineer do?
An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.
What is the difference between Internship Tesla Machine Learning Engineer vs Data Scientist Intern?
| Aspect | Internship Tesla Machine Learning Engineer | Data Scientist Intern |
|---|---|---|
| Required Credentials | Relevant coursework, programming skills, possibly some machine learning knowledge | Statistics, data analysis, programming skills, often some machine learning understanding |
| Work Environment | Hands-on projects in AI/ML teams at Tesla, collaborative, fast-paced | Data analysis tasks, reporting, modeling in various departments, collaborative |
| Employer & Industry Usage | Tesla, automotive, AI, and autonomous driving sectors | Various industries including tech, finance, healthcare, often within data teams |
Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.
What are the most commonly searched types of Tesla Machine Learning Engineer jobs in Oregon? The most popular types of Tesla Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Internship Tesla Machine Learning Engineer jobs in Oregon? For Internship Tesla Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Internship Tesla Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Internship Tesla Machine Learning Engineer jobs in Oregon are:
- Machine Learning Trainer
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What cities in Oregon are hiring for Internship Tesla Machine Learning Engineer jobs? Cities in Oregon with the most Internship Tesla Machine Learning Engineer job openings:
Instacart rating
6.7
Based on 29 frontline employees who took The Breakroom Quiz
Job description
Overview
We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in particular looking for current or recently graduated PhD students in economics or related fields like marketing, finance, or operations research. Candidates should bring some relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications.
The Economics team at Instacart works on a range of interesting and challenging problems at the intersection of machine learning and economics, from aligning the incentives in our multi-sided marketplace to analyzing the impact of behavioral nudges on our customers' and shoppers' decisions. Some of the core areas of focus for our team include online advertising, uplift and long term value modeling, logistics, marketplace optimization (consumers, shoppers, retailers), inventory intelligence, and general causal inference. You can find more information in our blog post that introduces the team and the type of work we do.
About the Job
- You will help design and build end-to-end machine learning solutions.
- You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects.
- You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains.
- You will develop high impact solutions to support Instacart's ambitious growth plans.
- You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments.
- You will have the freedom to suggest and drive organization-wide initiatives.
About You
Minimum Qualifications
- Current or recently graduated PhD student in economics or a related field with focus on data-intense problems.
- A blend of economic theory, applied econometrics, and business acumen that let you jump into a fast-paced environment and contribute from day one.
- Expertise in causal inference with observational and experimental data.
- Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Self-motivation and a strong sense of ownership
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