Career at Traces AI

A market conform salary
Flextime
Rewards, bonuses and other core benefits
Healthcare insurance
Cover education events

As an ML Engineer at Traces AI, you'll be tasked with developing machine learning and computer vision techniques and applying them at scale to our product.

You want to join us because you are passionate about:

  • Coming up with new ideas in machine learning, as demonstrated by one or more first author publications or projects;
  • Creating high-performance implementations of deep learning algorithms;
  • Bridge the gap between the research and products by integrating new fundamental research into applied projects and identifying interesting real-world problems to research;

We want you to join us because you have:

  • PhD in Computer Science, related technical field or equivalent practical experience;
  • Excellent programming skills in Python and/or, C++;
  • Proficiency in Deep Learning packages such as Tensorflow or PyTorch;
  • A getting-things-done mindset with a desire to turn knowledge into products;
  • Experience in helping develop/deploy technology products (major plus);
  • Strong mathematical and statistical background;
  • Experience with multi-threaded design and parallel/distributed computing;

More information:
You are welcome to contact us to discuss any aspects of this job specification. Please ensure you send a complete CV and 1-page cover letter outlining your suitability for the job when contacting the HR team.

Apply

As an Engineer at Traces AI, you will take findings from our Research Lab and productizing them in order to meet the highest production standards.

You want to join us because you are passionate about:

  • Participating in the elaboration, architecture, design, development, testing, deployment, operation, maintenance, and enhancement of tools, libraries, frameworks or platform;
  • Designing, implementing and operating friendly and scalable APIs and microservices;
  • Collaborating with the Machine Learning research group to productize the models and research findings as well as maintain AI models deployed in production;
  • Experience, designing, implementing, and running production services;

We want you to join us because you have:

  • At least 5 years of experience on large scale projects, preferably continuously delivered SaaS projects;
  • Experience and mastery of Python;
  • Experience developing and delivering on a public cloud provider like Google Cloud Platform, Microsoft Azure or Amazon Web Services; or have built an in-house cloud with all that this involves in terms of tools, monitoring, diagnostic, etc.;
  • Experience with Continuous Delivery and its toolchain (e.g. Git workflow, CI systems like CircleCI, etc.);
  • Experience with Docker, Kubernetes or other container-based deployments along with the automation tools;
  • Comfortable working with large, distributed systems;

More information:
You are welcome to contact us to discuss any aspects of this job specification. Please ensure you send a complete CV and 1-page cover letter outlining your suitability for the job when contacting the HR team.

Apply