Machine Learning Software Engineer

Position Overview

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.

About SynMax

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.

Key Responsibilities

Data Engineering

• Build robust pipelines that integrate and fuse large-scale datasets from AIS feeds, market data, satellite imagery, and proprietary sources.
• Ensure data quality, consistency, and reliability across heterogeneous data streams.

ML Development

• Design and deploy models for pattern recognition, anomaly detection, and time-series forecasting.
• Contribute to model training, validation, and optimization processes.

Software Engineering

• Develop production ML systems in Python on Google Cloud Platform.
• Build and maintain APIs for data ingestion, model serving, and system integration.

Growth & Ownership

• Take on increasing responsibility and help shape our technical direction, incorporating new technologies and proven best practices.

Qualifications

Education

• BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems.

Core Skills

• Python
• ML frameworks (TensorFlow/PyTorch/scikit-learn)
• SQL
• Distributed computing
• Version control

Experience

• 1+ years in ML engineering or data engineering.

Mindset

• Self-motivated with a growth mindset.
• Adaptable to a fast-paced startup environment.
• Comfortable with ambiguity and evolving responsibilities.

Work Authorization

• Must be eligible to work in the US or UK.

Preferred Experience

• Data 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 forecasting.
• Experience with data governance and security best practices.
• Real-time data streaming is a plus (Kafka, Beam, Flink).
• Experience with Kubernetes is a plus.
• Energy/maritime domain knowledge is a plus.

What We Offer

• Competitive salary commensurate with experience and comprehensive benefits package (medical, dental, vision).
• Significant growth opportunities as an early team member in a scaling company.
• Exposure to cutting-edge technology and diverse projects as we expand.
• Collaborative and innovative work environment.
• Fully remote work with access to Houston and London offices.
• Direct impact on products used by major energy companies and government agencies.
• Mentorship from experienced ML engineers and data scientists.
• Conference attendance and continuing education support.
• Opportunity to shape technical direction and establish best practices.

Application Instructions

Please submit your resume, a cover letter highlighting your experience with large-scale data processing and your ability to contribute to our mission.