Machine Learning Researcher

Stellar Cyber is a fast-growing Cybersecurity company focused on delivering holistic cyberattack protection to organizations while significantly reducing total costs of ownership with its innovative Open XDR (eXtended Detection and Response) platform based on advanced ML and security technologies. Stellar Cyber has been recognized by Gartner as one of the leading XDR players.

To accelerate our growth, we are seeking a talented and highly skilled Machine Learning Engineer / Researcher to join our cybersecurity team. As a Machine Learning Engineer / Researcher, you will be responsible for researching, designing, and developing data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber’s Open XDR platform.

• Work with the data integration team to review and design data schema and normalization for integration of third-party security data.
• Work with the security team to transform detection...

North Point Defense (NPD) is seeking an experienced Machine Learning Researcher to join its team in Rome, NY.

This position will be responsible to research methods focused on enabling ML technologies that provide real-world solutions.
Collaborate with a diverse team of software developers, DSP engineers, FPGA engineers, and Subject Matter Experts.
Research may result in publications in AI/ML conferences and journals

Requirements

Strong experience and skill with PyTorch and TensorFlow

Strong knowledge of languages such as Python

Research topics including reinforcement learning, multimodal models, object detection, LLMs, and transformers are preferable
Master's with 3+ years of experience or PhD in the field of Computer Science, Artificial Intelligence, or relevant technical field

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for...

Hop Labs works with organizations to build and deploy machine learning production systems at scale. Our clients range from startups to Fortune 10, and projects can vary widely – from greenfield LLM generative AI products to autonomous vehicle R&D to building bespoke evaluation frameworks. We are a fully distributed company, working remotely across the United States. While our projects often involve Python, PyTorch, and AWS, we are always ready to use the right tool for the job.

Some quick facts about Hop Labs:

• 100% remote, primarily based in the U.S.
• 10-15 team members, depending on our project mix at any given time
• Exclusively focused on technical consulting around production-scale machine learning
• Results-oriented work environment with a lot of flexibility -- we value life outside of work

For more information about the company and the team, please check out our...