Our Software Engineers are focused on developing innovative platforms and systems that drive our trading and research efforts. While performance is a critical component of our software, we are focused on building a platform that is massively scalable, flexible, and forward-looking. Our environment is highly collaborative, fostering innovation and growth.

As a Machine Learning Software Engineer with Vatic Investments, you will engineer cutting edge high throughput machine learning systems. You will play a key role in taking projects from conception to deployment. You will drive innovation for the frameworks upon which our trading applications are based, as well as benchmarking and tuning critical software services to achieve optimum performance.

We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.

If you possess the following, we would love to explore what is available for you with our team:

Advanced proficiency with Python development in a Linux environment
Strong understanding of machine learning, deep learning, and generative AI methods and technologies
Demonstrable success building high performance software
Performance tuning/optimization of software and algorithms
Strong analytical and problem-solving skills
A passion for trading, research, and technology
Excellent communication skills
Confident team player motivated by a fast-paced environment

While we are serious about our work at Vatic, we also promote a fun environment! You can expect:

Ping pong and poker games
Fun team outings
Unlimited office snacks
Free breakfast, lunch, and dinner
Gym membership
Full health insurance coverage for employees and dependents

The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

AI Infrastructure Engineer