Senior Machine Learning Engineer

The Company

We are a venture-backed AI/ML startup building the next-generation AI engine for businesses. Backed by top-tier Silicon Valley venture firms. Founded by seasoned AI executive and leadership team that invented and launched core AI/ML tech for billion-user products at Google AI and Amazon Alexa.

If you’re excited about innovation and joining the early rocket ship to drive huge impact for the company and build transformational AI/ML technology & products, we'd love to hear from you (https://www.slicex.ai/).

Job Description

We are hiring ML Engineers; looking for candidates with strong background and experience who will contribute to the design, implementation & iteration of the core infrastructure for efficient & scalable processing of data, ML training, inference & deployment for customer use-cases.

• Strong programming skills are required; experience with relevant programming language(s) like Python, C++, Java, Web & mobile dev stack.

• Ideal candidates have multiple (4+) years industry experience building performant large-scale systems on Cloud infrastructure, training & deploying ML systems in production for customers using open-source and custom technologies.

• Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow) is required.
  Experience developing on Cloud Compute services (e.g., AWS, GCP, Azure) is a plus.

• MS/PhD in ComputerScience, Machine Learning, Natural Language Processing, Computer Vision, Speech or related field.

• Research experience, publication record in top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, ...) is a plus.

• Prior leadership experience driving/leading technically challenging projects is a bonus, but not required.

• Ability to execute quickly and highly motivated to work well in small-to-midsize teams with high degree of ownership

• Most importantly, you’re passionate about making an impact via next-generation AI/ML technology, innovation and a curious learner.

Please include your resume (and LinkedIn profile) in your application, along with a summary of relevant experience, projects & any other details.