About us:

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.We''re seeking a talented Machine Learning Software Engineer to join our growing engineering team and help build industry-disrupting analytics platforms. You''ll 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.Data Engineering:

Build robust pipelines that integrate and fuse large-scale datasets from AIS feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streamsML Development:

Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processesSoftware Engineering:

Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model serving, and system integrationGrowth and Ownership:

Take on increasing responsibility and help shape our technical direction, incorporating new technologies and proven best practicesEducation:

BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systemsCore Skills:

Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version controlExperience:

1+ years in ML engineering or data engineeringData orchestration tools (e.g.

, Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies ( e.g.

, Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus

Competitive salary commensurate with experience and comprehensive benefits package (medical, dental, vision)Significant growth opportunities as an early team member in a scaling companyExposure to cutting-edge technology and diverse projects as we expandFully remote work with access to Houston and London officesDirect impact on products used by major energy companies and government agenciesMentorship from experienced ML engineers and data scientistsPlease submit your resume, a cover letter highlighting your experience with large-scale data processing and your ability to adapt and grow in dynamic environments, and any relevant project portfolios or GitHub repositories. We''re particularly interested in examples where you''ve successfully integrated diverse data sources or scaled data processing systems.SynMax

is an equal opportunity employer committed to building a diverse and inclusive team.#