Machine Learning Engineer

About the Role

As a Machine Learning Engineer at Eccalon, you will be an essential member of the Research and Development Team, engineering large tailor-made systems to solve complex data-related problems across diverse domains. The projects you support will often require solutions leveraging the latest advancements in Deep Learning and Machine Learning research, in both data-constrained and data-rich environments.

Responsibilities

• Support classical Machine Learning workflows, including:
  • Dataset creation
  • Data exploration and visualization
  • Literature review
  • Data wrangling
  • Implementation and training of models from literature
  • Characterization of model error
  • Iterative optimization of models
• Develop hands-on engineering solutions, such as:
  • Creating training and preprocessing pipelines for faster experimentation
  • Building algorithmic modules to align model outputs with business requirements
  • Integrating code into a larger codebase
  • Deploying models into production using AWS or GCP

Requirements

• BS in Computer Science or a related field
• 3+ years of professional software development experience in Python
• Mastery of Deep Learning fundamentals and the statistics underlying Machine Learning
• Experience putting Machine Learning systems into production
• Strong software development project history
• Deep personal interest in the state-of-the-art of a Machine Learning subfield
• Ability to work independently and collaboratively within a team
• Effective communication with non-technical stakeholders and supervisors
• Prior project experience combining two or more of the following in a production setting:
  • Unsupervised or semi-supervised learning
  • Convolutional architectures
  • Autoencoders
  • Recurrent architectures for time-series applications
  • Transformer architectures for natural language processing
  • Generative adversarial architectures

Qualifications (Preferred)

• MS or PhD in Machine Learning or a related field
• Extensive AWS or GCP experience deploying scalable Machine Learning systems into production
• Experience working with high-volume or high-throughput data in data lakes, warehouses, or production environments
• Implementation of cutting-edge methods (e.g., custom layers) from recent Machine Learning publications or conference proceedings in PyTorch or TensorFlow
• Publications in AI/ML journals or conferences

About the Organization

Eccalon provides global solutions to the most challenging technological issues of the 21st century. Our evolving portfolio spans Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advanced Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences.

Benefits

Eccalon offers a supportive work environment focused on innovation, security, and employee growth. Our culture is built on inclusion, teamwork, and trust, with a commitment to career advancement opportunities. We provide an extensive benefits package to support the wellness of employees and their families.

Location: Detroit, MI (onsite). No security clearance required, but must be clearable. Full-time position.