Machine Learning Engineer (Commodity)

SynMax; Georgia; Remote; USD 125,000 - 150,000; Full time

Job summary

A pioneering geospatial data analytics company is seeking a talented Machine Learning Software Engineer to enhance their analytics platforms. You will design and deploy ML models, build data pipelines, and work in a dynamic startup environment. Ideal candidates have a strong background in Python, machine learning frameworks, and are self-motivated. This role offers competitive salary and fully remote work options with a significant opportunity for growth.

Benefits

Competitive salary and benefits package

Significant growth opportunities

Mentorship from experienced professionals

Conference attendance and continuing education support

Qualifications

• 1+ years in ML engineering or data engineering.
• Experience deploying, monitoring, and maintaining ML models in production environments.
• Familiarity with big data technologies and real-time data streaming is a plus.

Responsibilities

• Build robust pipelines for integrating large-scale datasets.
• Design and deploy models for pattern recognition and forecasting.
• Develop production ML systems in Python on Google Cloud Platform.

Skills

Python

ML frameworks (TensorFlow/PyTorch/scikit-learn)

SQL

Distributed computing

Version control

Education

BS in Computer Science, Engineering, Mathematics, or related field

Tools

Airflow

Spark

Kubernetes

Job description

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.

Job Summary:

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.

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 fast-paced startup environment, comfortable with ambiguity and evolving responsibilities.
• Work Authorization: Must be eligible to work in 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.

How to apply?

Please 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.