Company Name: Tower Research Capital

Role: ML Engineering Intern

Batch eligible: 2024 and 2025 grads

Apply: https://www.tower-research.com/open-positions/?gh_jid=5546199

Company Name: Ascend Capital

Role: Intern and FTE (Full Stack)

Batch eligible: 2022 and 2023 passouts

Apply: https://bit.ly/47mRPDO

Batch :2023/2024/2025 passouts

Looking for interns with good understanding of Dockers, deployments, Kubernetes, open-source ecosystem, data structures, and coding (Java and Go) to work on the CVEs.
If you are passionate about cloud-native technology and want to work in an environment that offers excellent opportunities to learn from senior mentors, please share your resume with me at megha@nirmata.com.

Company Name : LG Ad Solutions

Batch : 2025 passout females

Role : SDE Internship

Stipend : 2.5 Lakh/month

Link : https://codelikeada.lgads.tv/

Last date to register is 31st December 2023.

https://www.careers.fiserv.com/job/chennai/technology-summer-intern/1758/59163921696

2024/2025 batch

Batch :2023/2024/2025 passouts

Looking for interns with good understanding of Dockers, deployments, Kubernetes, open-source ecosystem, data structures, and coding (Java and Go) to work on the CVEs.
If you are passionate about cloud-native technology and want to work in an environment that offers excellent opportunities to learn from senior mentors, please share your resume with me at megha@nirmata.com.

Company Name : LG Ad Solutions
Batch : 2025 passout females
Role : SDE Internship
Stipend : 2.5 Lakh/month

Link : https://codelikeada.lgads.tv/

Last date to register is 31st December 2023.

Google is Hiring, Software Engineer - Google One
Skills Required - Python, C/C++, Java
Salary - 25LPA - 38LPA
✅Apply Here👉 https://cuvette.tech/app/other-jobs/6589c34473abc93d3d11d21f?referralCode=8T994D


Google is Hiring, Software Training in Engineering Program
Salary - 18LPA - 32LPA
Skills Required - Java, C++, Python
✅Apply Here👉 https://cuvette.tech/app/other-jobs/6589c29b6a7446a819074d77?referralCode=8T994D

Mathworks is Hiring, Software Development
Salary - 17LPA - 28LPA
Skills Required - Javascript, C/C++
✅Apply Here👉 https://cuvette.tech/app/other-jobs/6585d9c8c3c52a75fd54b66f?referralCode=8T994D


Cornerstone is Hiring, Software Engineer
Salary - 5LPA - 8LPA
Skills Required - Java, C#, Python
✅Apply Here👉 https://cuvette.tech/app/other-jobs/6589c5cd3a911acdb53cb4fa?referralCode=8T994D

Company Name: Irdeto

Role: Graduate Developer

Batch eligible: 2023 and 2024 passouts

Apply: https://careers.irdeto.com/job/New-Delhi-Graduate-Developer/1074185600/

Company Name: Natwest Group

Role: Software Engineer

Batch eligible: 2022 and 2023 passouts

Apply: https://jobs.natwestgroup.com/jobs/13724018-software-engineer

Mercor Hiring Remote SWE

Freshers as well as Experienced can apply

No referral needed

CTC: 15-40 LPA
https://www.linkedin.com/jobs/view/3788931750

📢 Remote Internships !!

📌AppLovin hiring  Infrastructure SWE Intern (Remote)
Stipend: $45-60/hr
Apply here- https://boards.greenhouse.io/applovin/jobs/4290258006?gh_jid=4290258006&gh_src=e20f9b9d6us

📌Whatnot Hiring Software Engineering Intern
Batch: 2025
Apply here- https://boards.greenhouse.io/whatnot/jobs/4957334004?+gh_src=d18daf814us

Date: 27/12/2023
Company name: Walmart
Role: ML Engineer
Topic: machine learning

1. Explain the difference between L1 and L2 regularization.
Answer: L2 regularization tends to spread error among all the terms, while L1 is more binary/sparse, with many variables either being assigned a 1 or 0 in weighting. L1 corresponds to setting a Laplacean prior on the terms, while L2 corresponds to a Gaussian prior.

2. What cross-validation technique would you use on a time series dataset?

Answer: Instead of using standard k-folds cross-validation, you have to pay attention to the fact that a time series is not randomly distributed data—it is inherently ordered by chronological order. If a pattern emerges in later time periods, for example, your model may still pick up on it even if that effect doesn’t hold in earlier years!
You’ll want to do something like forward chaining where you’ll be able to model on past data then look at forward-facing data.
• Fold 1 : training [1], test [2]
• Fold 2 : training [1 2], test [3]
• Fold 3 : training [1 2 3], test [4]
• Fold 4 : training [1 2 3 4], test [5]
• Fold 5 : training [1 2 3 4 5], test [6]

3. What’s the “kernel trick” and how is it useful?

Answer: The Kernel trick involves kernel functions that can enable in higher-dimension spaces without explicitly calculating the coordinates of points within that dimension: instead, kernel functions compute the inner products between the images of all pairs of data in a feature space. This allows them the very useful attribute of calculating the coordinates of higher dimensions while being computationally cheaper than the explicit calculation of said coordinates.

4. Explain how a ROC curve works.

Answer: The ROC curve is a graphical representation of the contrast between true positive rates and the false positive rate at various thresholds. It’s often used as a proxy for the trade-off between the sensitivity of the model (true positives) vs the fall-out or the probability it will trigger a false alarm (false positives).

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Stay Safe & Happy Learning💙