Ask HN: Who wants to be hired? (March 2025)

Location: Bangalore, India Remote: Yes

Willing to relocate: Negotiable (depends on the role, remote is my first priority)

Technologies: Python, Pytorch, Pyspark, SQL, ElasticSearch, Docker, FastAPI, Flask, Azure, Airflow, GCP, Machine learning, Deep Learning, NLP, RecSys, Reinforcement Learning, LLMs, AI Interpretability.

Résumé/CV:https://drive.google.com/file/d/1Q0DZX5LjM6Ty36EPSn4wbvmFDQ5...

Email: jshrey8@gmail.com

Github: https://github.com/shreyansjainn

Portfolio: https://shreyansjainn.github.io/

Independent ML Interpretability Researcher with 8+ years of experience as a Data Scientist, specialising in developing and deploying OCR systems, search engines, recommender systems, NLP and time series forecasting models.

Also, I’m an independent contributor to an ML Interpretability research project working along with a team from NYU (recently got accepted in ICLR 2025 Blogpost Track) and a contributor to the Open-Source library Minari - Farama Foundation.

Location: EU

Remote: Yes, EU timezones preferred

Willing to relocate: Depends on the location (but with a strong bias for EU-Schengen/US locations)

Technologies: Java, Python (and variants thereof like Groovy, Clojure, Pypy), Node/TS | AWS/Lambda Serverless, GCE/Kubernetes | Redis, MySQL, PostgreSQL, DynamoDB

Resume: https://bit.ly/3B3o65M (It links to my CV repo at Github, pinky promise. You can also visit github.com/.)

I'm not actively looking (hence why my resume link is obfuscated like that) but I'm at least interested in getting a feel for the market right now. That said, I'm willing to consider a position with a great fit for my skill set and career goals.

Here's my pitch: I have experience in a multitude of industries and positions. From improving legacy infra and processes in an established telco company to scaling a fast-moving startup from 200K to 2M users. In my free time, I love writing Code That Is Poetry but day-to-day I am not an idealist engineer who doesn't compromise. Well-engineered code is clean and correct but correct above all else.

Oh, also, I'm great at writing documentation. I consider myself introverted but apparently my communication skills are above average for Software Engineers. I also pride myself on my humility and modesty.

I'm currently a backend engineer developing features and improving infra for an online game with millions of daily active users. I'd love to explore other technical positions in the games industry short of joining a AAA studio because (a) I don't want to crunch and (b) my skill set does not lay that way; other tech-creative industries would also appeal to me! Another particular interest is in B2C businesses where the 'C' is software developers. I'd love to chat and network about opportunities; if you think you have a product that could benefit from my skill set, drop me a line!

  Location: Europe
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Java (Spring, Swing, JavaFX), JavaScript (Node, React, D3), Python, various SQL/NoSQL data stores, ETL platforms, UI/UX design tools, AI/LLM tools, Git, AWS, etc.
  Résumé/CV: www.linkedin.com/in/georgetanev
  Email: geotanjazz@gmail.com

Multifaceted software engineer and consultant with a master's degree in computer science and 15 years of experience in tech. Developed comprehensive solutions from design to deployment, from web and desktop applications to data pipelines and interactive visualizations. Authored technical content for SaaS companies, including programming tutorials, quizzes, and coding challenges. Published original research with IEEE, OEIS, Springer, etc., and worked with organizations such as MIT, Rollbar, and Triplebyte.

Location: Oslo, Norway

Remote: Yes, preferred. Flexible with EU and US time zones.

Willing to relocate: Yes

Technologies: machine learning, deep learning, Python, PyTorch, NumPy/Pandas, flask, SQL, Docker, Rust

Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction

Résumé/CV: available on request

Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background

Open to freelance/contract work. I have my own company for billing. Open for US work.

E-mail: hn [at-symbol] vixe [dot] re

    Location: New York, NY  
    Remote: Yes  
    Willing to relocate: Yes  
    Technologies: Python, PyTorch, TensorFlow, C/C++, Julia, CUDA  
    Résumé/CV: Available upon request.   
    Email: hire[at]enisberk dot com  
    Scholar: 

PhD Candidate in CS specializing in audio and multimodal data analysis. My research focuses on applying Machine Learning techniques to extract insights from various audio and sensory data modalities. I'm particularly interested in mechanistic interpretability, multi-modal LLMs, audio/speech and time-series.

Experience:

    - Developed ML models for audio classification.
    - Worked on multimodal data integration and modeling.
    - Explored low-resource ML techniques to address data scarcity.

Open to full-time research and engineering roles. I hope to conclude my interviews soon and make a decision. Please feel free to reach out if you can expedite the process.