Machine Learning Intern

Job Description

Atlys’ mission is to enable every person on earth to travel freely. At Atlys, we’re building the infrastructure that makes international travel seamless, driven by a clear vision to remove friction and uncertainty from global travel. Today, visas and travel documentation remain some of the most frustrating, time-consuming, and unpredictable parts of the journey. Our goal is to solve this through technology, making global travel faster, simpler, and far more predictable.

Building the future of global mobility is one of the most exciting opportunities of this decade, and we’re only getting started.

Job Requirements

We're looking for an ML intern to work on image quality detection and structured data extraction models. Here, you'll be building models from scratch, running real experiments and improving them through better data and smarter training techniques. You'll ship work that directly impacts production.

Responsibilities

• Train and finetune models for image quality detection and enhancement tasks
• Run structured experiments - compare different architectures, track what works and document why
• Prepare and validate labeled datasets for structured field extraction (names, dates, numbers and more)
• Write scripts to automate repetitive data processing tasks so you're not doing the same thing twice
• Document your training procedures and results clearly

Ideal Candidate

• Good Python skills - you can write clean, working scripts without hand-holding
• Familiarity with PyTorch and/or TensorFlow - you've trained models before, whether for coursework, competitions, or personal projects
• Understanding of computer vision fundamentals - image processing, augmentation and common architectures (YOLO, U-Net, ResNet, etc.)
• Attention to detail - data work can be tedious and mistakes propagate fast, you need to care about getting it right
• Familiarity with Hugging Face Transformers and model hubs
• Curiosity about the LLM/VLM space and willingness to learn finetuning techniques (LoRA, QLoRA, etc.)

Hiring Journey

• First up: If your profile looks like a strong fit, our People team will reach out within 7 days for a quick intro chat.
• Next up: You’ll speak with the hiring manager and a peer (order may change depending on calendars, we like to keep things fast and flexible).
• Finally: If it feels like a strong mutual fit, we move fast and get you started at Atlys. We keep communication transparent and timelines quick. If things don’t work out, we’ll always close the loop over email, and you’re welcome to apply again in the future :)