Salesforce MetaMind is working with state-of-the-art AI techniques. We are based in downtown Palo Alto — near Caltrain. We emphasize teamwork and believe a fun workplace is a good workplace. Join our star team and lets influence the future of AI!

We aim to create a work culture which is collaborative, productive, and fun. Our office is light, airy, and welcoming. So whether you need the solitude of a quiet room, the vibrance of a downtown view, a relaxed lounge to bring a customer, or a conference room to present your ideas — we have the space for you.


Competitive compensation

Great medical packages and more at

Convenient commuter options

Generous time off and parental leaves

Fun and smart colleagues

Save for your future with generous 401(k) contribution matching

Find your cause with

Education reimbursements and internal classes

Open positions

Senior Researcher

We are looking for an experienced Deep Learning(DL) expert. You can either have a proven track record of complex DL work in industry, or research. For the former, please include your past projects. For the latter, please include your published papers, ideally at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS.

We ask that interested candidates spend some time working on an interview coding task, which we will send after reviewing your resume. A good implementation is very likely to lead to a fast-­track interview with a few members of our team!

Senior Software Engineer
  • 6+ years of experience
  • Have practical experience working on a full-stack, scalable, cloud-based systems in a fast-moving, iterative environment
  • Have top-notch software design skills and sensibilities
  • Embody a collaborative, team-first mindset
  • Desire to learn about deep learning technology
Software Engineer
  • 2-4 years of experience
  • Have a degree in CS or equivalent experience
  • Desire to learn about deep learning technology
Back-End Engineer
  • Are a great coder!
  • Have a degree in CS or equivalent experience
  • Desire to learn about deep learning technology
Research Intern
  • PhD/MS candidate in a relevant research area
  • Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, attention models, and optimization methods
  • Experience with one or more deep learning libraries and platforms, e.g. Torch, TensorFlow, Caffe, or Chainer