Came across this job posting for a Machine Learning Research Intern at a biomedical AI company in Toronto, and I genuinely had to laugh.

The requirements include:

• In-depth knowledge of Transformers
• Time-to-event analysis
• Clinical EHR data (clinical notes, labs, flowsheets, disease outcomes)
• Medical imaging (histopathology, MRI, CT, radiology)
• Python, PyTorch, TensorFlow, MONAI
• Foundation models and large-scale pretraining
• Agentic AI systems
• A master's or PhD in a relevant field
• Ideally, publications and experience with multi-institutional datasets

And what is the compensation for this full-time, 12-month position?

$32–35/hour.

I understand that not every bullet point means you need to be an expert in everything, and I get that research internships are not supposed to pay like senior scientist positions.

But seriously, if you genuinely need expertise spanning deep learning research, survival analysis, clinical informatics, medical imaging, and foundation models, why is this classified and compensated as an intern position?

Are companies just throwing every buzzword they can think of into one job description and hoping someone with a PhD will accept an entry-level salary?

Am I being unreasonable here, or is this a pretty significant mismatch between the expectations and the compensation?

Link here in case you are curious: https://www.linkedin.com/jobs/view/4483262099/

Title: Amazon Applied Scientist Intern — What should I learn in 2 months before joining?

Hey guys, I'll be joining Amazon as an Applied Scientist intern for 6 months and have around 2 months free before joining.

I'm confused about what to focus on. Should I strengthen my ML fundamentals, study advanced topics like transformers and deep learning, or start reading and implementing research papers?

Also, is it worth learning DevOps stuff like AWS, Docker and CI/CD beforehand, considering big companies often have their own internal tooling?

Would love to hear from people who've worked as Applied Scientists or done ML internships at Amazon or similar companies. If you had 2 months to prepare, what would you focus on?

Hi everyone,

I'm currently learning machine learning, and I'm working through a structured AI/ML learning path.

I'm enjoying the learning process a lot, but recently I've started thinking more seriously about what comes after learning.

My main concern is: How realistic is it to actually turn these skills into income or a career?

A few things I'm particularly curious about:

• What types of entry-level ML/AI/data jobs are realistically available today?
• What kinds of companies tend to hire people with these skills? (Startups, tech companies, consulting, healthcare, finance, etc.)
• How important is a degree for getting the first opportunity?
• Is freelancing in ML/data/AI actually realistic for a beginner, or is it much harder than it looks?
• What kinds of freelance projects do clients actually pay for?
• Could someone realistically start a small AI/ML business or startup with these skills instead of looking for employment?
• What skills are currently most valuable for someone trying to become employable: classical ML, deep learning, LLMs, data analysis, MLOps, software engineering, or something else?
• If you were starting from scratch today, what would you focus on to maximize your chances of getting your first paid opportunity?

For context, I'm still early in my journey, so I'm trying to make sure I'm learning things that have real-world value rather than just collecting certificates and completing courses.

I'd especially appreciate answers from people who have actually hired ML engineers/data scientists, freelanced in this space, or built AI products/businesses.

I'm not expecting a guaranteed roadmap or exact salary numbers. I'm mainly trying to get a realistic picture of the different paths available and how difficult each one is.

Thanks! 🙏

has anybody applied for this role lately, and has anybody received any update after applying?

Hey everyone!

WORK FROM OFFICE and the location is Bengaluru

We're hiring a Junior Data Scientist at DataKlout, a Bengaluru-based AI company working on voice analytics, NLP, and conversation intelligence.

We're currently building our own in-house AI models for understanding real-world conversations and are looking for someone genuinely interested in Machine Learning, Deep Learning, and NLP.

Position Details:

• Role: Junior Data Scientist
• Experience: 0–1 year (Freshers welcome)
• Location: Bengaluru
• Employment: Full-time, Permanent

What you'll be working on:

• Building and fine-tuning transformer-based models (BERT, LLMs, etc.)
• NLP tasks like intent classification, sentiment analysis, and entity extraction
• Working with Hugging Face, PyTorch, and LoRA/QLoRA
• Processing real-world speech transcripts (Whisper/ASR)
• Training, evaluating, and deploying ML models

What we're looking for:

• Strong Python fundamentals
• Understanding of Machine Learning, Deep Learning, and NLP
• Familiarity with Hugging Face and PyTorch/TensorFlow
• Experience with Pandas, NumPy, and Scikit-learn
• Academic projects, internships, or personal projects involving AI/ML

Bonus points if you've worked with: LLM fine-tuning, Whisper, FastAPI, Docker, or MLflow.

A quick note for freshers:

You don't need to know everything mentioned above. If you have strong fundamentals, have built some interesting ML/NLP projects, and are genuinely curious about AI, we'd love to hear from you.

You'll get the opportunity to work alongside experienced engineers and gain hands-on exposure to the complete ML lifecycle.

How to apply:

Please DM me your resume along with the following details:

• Graduation year and branch
• Relevant AI/ML projects or internship experience
• GitHub/Kaggle profile (if available)

I'll personally review the applications and reach out to shortlisted candidates.

Feel free to share this with anyone who might be interested!

Company: DataKlout

🚀 Hiring: AI/ML Engineering – Synyx AI
Looking for an opportunity to gain hands-on experience building real-world AI solutions? Join Synyx AI and work on an exciting Travel & Hospitality application!
📍 Location: Varanasi, India
💼 Type: Internship
🏠 Accommodation provided
🎓 Freshers and students with a strong interest in AI/ML are welcome!
🔗 Apply: https://www.synyxai.com
Interested? Feel free to reach out or share your profile!
#Internship #AIMLIntern #AIInternship #MachineLearning #Hiring #SynyxAI #TechInternship

Hey everyone!

I'm a Computer Science undergraduate at IIIT Manipur, India, currently looking for remote internships and early-career opportunities in AI/ML, Data Science, Machine Learning Engineering, and Software Development.

Here's a little about me and what I've been working on:

• AI Research: Currently working as a research intern at IIIT Vadodara on Reversible Data Hiding and Image Security.
• Open Source: I've contributed 200+ merged PRs to projects like scikit-learn, xarray, Plotly, LiteLLM, and other Python libraries.
• Kaggle: Kaggle Competitions Expert with 2 Silver medals and 1 Bronze medal.
• AI/ML Projects: Built a Conflict-Aware Graph RAG pipeline and an AI-agent security benchmark.
• Software Development: Experience with Python, C++, JavaScript, React.js, Node.js, Express.js, SQL, and databases.
• Open Source Packages: Published two Python packages on PyPI.

I'm interested in working on practical problems across AI/ML, Data Science, LLMs, backend and full-stack development, and general software engineering.

I'm open to remote opportunities with teams hiring from India. I'm also happy to collaborate on interesting ideas or help build projects you're working on. Whether you're starting something new, building a product, experimenting with AI, or need an extra pair of hands on a project, feel free to reach out!

Here are my links:

Resume: https://drive.google.com/file/d/1O2JgP7tOCDKCzugWwx5AyuPNtiyObewW/view?usp=sharing

Portfolio: https://eeshsaxena.com
GitHub: https://github.com/eeshsaxena
LinkedIn: https://linkedin.com/in/eeshsaxena
Email: [eeshsaxena@gmail.com](mailto:eeshsaxena@gmail.com)

I'd really appreciate any relevant job leads, referrals, or introductions to teams hiring in these areas. I'm also open to connecting with people building interesting things and exploring opportunities to work together.

Thanks for reading! :)

If anyone has any opportunities please feel free to reach out

A recent analysis of 3,518 job postings from 81 companies across seven roles found some interesting patterns.

In several categories, generic terms appeared more often than the big-name tools. “Observability” showed up more than “Grafana,” while “SIEM” appeared more than “Splunk.”

That raises an interesting question: are resumes too focused on listing specific tools and not enough on the broader skills and terminology employers use?

The study breaks down the results by role, including software engineering, cybersecurity, DevOps, marketing, product, accounting and sales.

The full dataset, methodology and findings are here:

https://www.zoevera.com/resume/ats-resume-keyword-study

Hi r/developersIndia,

I'm a B.Tech (AI & ML) graduate from RGPV Bhopal with a CS diploma background, currently in Kalyan, Maharashtra. I'm looking for entry-level or internship roles in AI/ML, data analytics, or cloud, and I'm open to remote, Mumbai/Pune, or relocation.

Skills: [Python, SQL, AWS, etc.]

Projects: [Project 1: one line + result], [Project 2: one line + result]

Experience: [Tutoring, internship, or certifications]

What I need:

Resume feedback (happy to share a Drive link in the comments)

Referrals if your company has fresher openings. I'll DM my resume and GitHub.

I'd also appreciate any advice on what's working for freshers right now. Thanks!

Excited to launch Remote Pajama Jobs! Built a tech job directory (less than a Starbucks coffee) — feedback & missing roles/skills welcome! I’ll add them right away!

Hey everyone! 👋

I’ve officially taken Remote Pajama Jobs live! My goal with this directory is to make high-priority remote tech, AI, and machine learning listings accessible without breaking the bank — everything on the platform is priced at less than the cost of a Starbucks coffee.

I've already integrated the skill forms for targeted searches, but I know how fast this industry moves. If your desired roles, specialized machine learning skills, or target locations are missing, let me know, and I’ll add them right away!

I’d love your feedback on the layout, usability, and listings. Thank you all so much for the continuous support and community encouragement!

Have a master's degree or PhD in Machine Learning, AI, Computer Science, or a related quantitative field? micro1 is hiring Machine Learning Researchers for a global AI training project.

This is a highly technical, coding-intensive opportunity focused on developing, testing, and evaluating complex machine learning systems.

What you'll be working on:

• Develop and validate ML models and training pipelines.
• Build reproducible Python workflows.
• Optimize inference systems and model performance.
• Debug numerical and system-level failures.
• Evaluate and verify ML engineering solutions.

Who they're looking for:

Candidates with an MSc or PhD in a relevant field, strong ML research or engineering experience, and hands-on proficiency with Python and AI coding agents.

Experience at leading tech companies, AI labs, or research organizations is preferred. Strong academic or open-source contributions may also qualify.

Pay: Advertised $60-$120/hr
Location: Worldwide, fully remote
Openings: 100
Commitment: ~15 hours/week, flexible schedule

Important: Compensation is task-based, with payment for accepted submissions rather than guaranteed hourly wages.

The selection process includes screening questions, a 30-minute AI interview, and hiring manager review. Selected candidates should be ready to begin within 24–48 hours of onboarding.

Interested? Apply through micro1: https://jobs.micro1.ai/machine-learning-researchers