Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
SynMax is seeking a talented Machine Learning Software Engineer to join our growing engineering team. You will work at the intersection of machine learning, data engineering, and large-scale data processing, applying AI to diverse datasets to solve complex real-world problems in energy and maritime intelligence. This is an exceptional opportunity for someone who thrives in a dynamic startup environment and wants to grow their career alongside a rapidly expanding company. As we scale, you'll have the chance to take on increasing responsibilities and help shape the future of our ML infrastructure. We're open to hiring across experience levels (1+ years) depending on skills and fit.
SynMax is a pioneering geospatial data analytics company built on the principle of "Why guess when you can know." We deliver AI-powered intelligence to maritime and energy sectors, transforming satellite imagery, AIS feeds, and market data into actionable insights through our platforms: Hyperion (energy intelligence), Theia (maritime domain awareness), Leviaton (LNG tracking), and Vulcan (power monitoring). With offices in Houston and London, we're a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries.
Please submit your resume, a cover letter highlighting your experience with large-scale data processing and your ability to contribute to our mission.
Investment analytics and portfolio management tools
Syntax provides financial technology solutions that focus on investment analytics and portfolio management. Their platform allows users to access detailed profiles of companies and Exchange-Traded Funds (ETFs), helping investors understand risks and opportunities. They also create proprietary benchmark indices for accurate performance metrics and employ algorithms for tax-efficient strategies. Syntax aims to enhance decision-making for individual and institutional investors through subscription-based access to their tools and data.