RudderStack Hiring Machine Learning/Software Engineering/Design+UI Internship.
RudderStack Hiring Machine Learning/Software Engineering/Design+UI Internship
- 2022 & 2023 Graduates/ 2024, 2025 – Undergraduates (Preference for final year computer science or related engineering branches).
- Master’s or PhD students are welcome.
- Should be available for up to 6 months(minimum 3 months).
- Have strong computer science fundamentals (data structures, algorithms, databases).
- Have good knowledge of machine learning.
- Knowledge of Deep Learning is a plus but not mandatory.
- Experience working with Large Language Models (LLMs) is a plus but not mandatory.
- Strong computer science fundamentals (data structures, algorithms, databases).
- Knowledge and basics of preferred Software programming languages like Javascript/ Typescript, Python & and Golang would be a plus but not mandatory.
RudderStack Internship 2024: Calling all interns! Exciting growth at Rudderstack! for Machine Learning/Software Engineering/Design+UI Internship for B.Tech/B.E/M.Tech/M.E/B.Sc/PhD – 2022/2023/2024/2025 Batch graduates. Join a fun and flexible workplace where you’ll enhance your skills and build a solid professional foundation. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Bring your skills to the forefront of data management innovation! Join us as a remote intern and contribute to our transformative journey. Dive into the world of customer data management and reshape the industry with us! If you’re an aspiring innovator in machine learning engineering, let’s push boundaries together. Revolutionize data management, harness machine learning power, and make a lasting impact in the industry. Seeking remote interns interested in Software Engineering internship openings and passionate about data challenges to join our Profiles, ML Predictions, Data Pipelines, etc. teams. Be a part of pushing boundaries in customer data management and making a transformative impact. Let’s revolutionize the industry together! Join at RudderStack. This is an opportunity to take on an exciting new career challenge. It’s a chance to hone your technical skills and advance your career. Don’t miss this opportunity to power your career. Share with your friends and family! If you want more details regarding the job, like salary, age, mode of application, selection, and job location, you can find them below. You can check the official website below if you still have any doubts.
Detailed Eligibility:
Machine Learning/Software Engineering/Design+UI :
- 2022 & 2023 Graduates/ 2024, 2025 – Undergraduates (Preference for final year computer science or related engineering branches).
- Master’s or PhD students are welcome.
- Should be available for up to 6 months(minimum 3 months).
- Have strong computer science fundamentals (data structures, algorithms, databases).
- Have good knowledge of machine learning.
- Knowledge of Deep Learning is a plus but not mandatory.
- Experience working with Large Language Models (LLMs) is a plus but not mandatory.
- Strong computer science fundamentals (data structures, algorithms, databases).
- Knowledge and basics of preferred Software programming languages like Javascript/ Typescript, Python & and Golang would be a plus but not mandatory.
Note: Candidates must join at the end of February or in March starting in 2024.
Design+UI:
- Looking for someone who preferably comes from a background of Frontend(UI) design, or a related field.
- Understanding design tools such as Figma, Sketch, or any similar tools is good.
- Front-end development languages (ReactJS, HTML, CSS, JavaScript) are a plus.
- Based on feedback and project goals, create and iterate on wireframes, prototypes, and user interfaces.
- Assist in developing design assets, style guides, and other visual elements.
- Contribute to the overall user experience strategy and design vision.
- Collaborate with the design and development teams to understand project requirements.
- A creative mindset with a strong attention to detail.
- Excellent communication and collaboration skills.
- Working closely with the ML team and actively participating in team discussions.
- Work on the data engineering or Machine Learning problems assigned to you.
- Proposing and analyzing multiple design approaches.
- Doing a literature review and identifying the best solutions for the given problem.
- Building ML models on actual data from millions of users.
- Debugging and functional testing of your code.
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