Ask HN: Who wants to be hired? (January 2023)

Location: NYC during the summer & Bay area for the rest of the year Remote: Yes Willing to relocate: No Technologies: python, C++, Git, tensorflow, scikit-learn, numpy, pandas, java Résumé/CV: https://www.linkedin.com/in/krista-opsahl-ong-86b096103/ Email: kristaoo @ stanford . edu About me: Machine Learning PhD student at Stanford with 4 years in industry at Microsoft and Google as a Software Engineer and Product Manager respectively. Looking for Machine Learning engineering / research internships this summer, and also open to freelance Product Management or Eng work throughout the year.

Location: Los Angeles, CA Remote: Preferred, USA Willing to relocate: No

Résumé/CV: https://github.com/devoopes/resume/blob/master/resume.md Linkedin: https://www.linkedin.com/in/seanpmccabe/

Email: sean@ulation.com

Position Types: Lead DevOps Engineer, DevOps Manager

Systems engineer doing DevOps for the last 8 years. I have an eclectic background working with small and large stacks. Mostly focusing on CI/CD, cost analysis, SOC2/Compliance and working hands on with developers to solve complex problems. I am interested in a mission driven company looking to develop DevOps methodologies with the potential of building a team.

  Location: Minneapolis, MN
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Python, Java, R, MATLAB, OCaml, Haskell, C, C++, NumPy, Matplotlib, CVX, NLTK, React
  Résumé/CV: https://docs.google.com/document/d/1FiqUZwifrZu7nRHfcPl3p6N_bMU1s1xoUrPc2F7ek6k/edit?usp=sharing
  Email: baumgartgustav@gmail.com

I'm a current master's student (major in Computer Science and minor in Mathematics) at the University of Minnesota. I have used Agile Scrum for projects before and developed UML and sequence diagrams to describe an automated election program. Machine learning is a strong passion of mine as well. I am an incoming intern at Cisco, where I will work with federated machine learning this spring. My past experience includes testing models on human genetic interaction profiles using data from the Dependency Map Project. In my academic career, I enjoyed taking machine learning courses including computer vision and natural language processing (where I worked with NLTK). I also automated data processing in my TurbineHub internship, where I built a Python solution to retrieve wind farm electricity generation data using the Energy Information Administration’s API. I also automated pulling digital obstacle files from the Federal Aviation Administration using regular expressions.

Currently, I am looking for a summer internship (my graduation date is in December 2023).