Senior AI/ML
Engineer

01 / The company

Coastline Digital

Coastline Digital is a forward-deployed AI and software firm specializing in enterprise applications that are built to perform reliably in daily production environments. The team works directly with client stakeholders to understand real workflows and delivers custom internal tools, workflow automation, and integrations that connect existing systems. Coastline Digital designs and deploys AI and machine learning solutions, including assistants, agents, data and document pipelines, and predictive models tailored to specific business problems. The company also builds web and mobile applications and marketing sites, focusing on short, iterative delivery cycles so clients see working results quickly. Based in San Diego, Coastline Digital collaborates with teams across Southern California and remotely.

02 / The role

From business problem
to production AI.

The Senior AI/ML Engineer contract role is a remote position focused on designing, building, and deploying robust machine learning and AI solutions for enterprise clients.

What you’ll do

• Collaborate with product and client teams to understand business processes and translate requirements into technical designs.
• Develop end-to-end ML systems, from data collection and preprocessing to model training, evaluation, and production deployment.
• Architect and implement neural network and traditional ML models, and optimize algorithms for performance and scalability.
• Integrate models into existing applications and workflows.
• Set best practices for model monitoring, experimentation, and reproducibility.
• Conduct code and model reviews, and contribute to technical documentation and client-facing explanations of AI solutions.

03 / What you bring

Qualifications

• Strong foundation in Computer Science and Algorithms, with experience designing scalable, maintainable software systems.
• Deep expertise in Neural Networks and Pattern Recognition, including hands-on work with modern deep learning frameworks.
• Solid background in Statistics and applied data analysis, including experimental design, model evaluation, and performance metrics.
• Proficiency in one or more programming languages commonly used in AI/ML (such as Python), and familiarity with ML libraries and frameworks (such as PyTorch, TensorFlow, or similar).
• Experience building and deploying production-grade AI/ML systems, including data pipelines, APIs, and integration with cloud or on-prem infrastructure.
• Ability to work independently in a remote contract setting, manage priorities across multiple projects, and communicate complex technical concepts clearly to technical and non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Previous experience in enterprise software, workflow automation, or AI solutions for business processes is highly beneficial.