Share Email Opening Apply Now Title Machine Learning Engineer  EOE Statement Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. EEO is the law.   Category Information Technology   Description Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. Job Description The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained and data rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our R&D team. Responsibilities Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks: Dataset Creation. Data Exploration/Visualization. Literature Review. Data Wrangling. Implementation and Training of Appropriate Models from Literature. Characterization of Error in Models. Iterative Optimization of Models. On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by: Creating training and preprocessing pipelines for faster experimentation. Creating algorithmic modules to interface your Models output with business requirements. Integrating their code to a larger codebase. Putting your model into production using AWS or GCP. Required Qualifications BS. in Computer Science, or related field. 3+ years of professional Software Development experience in Python. Mastery of Deep Learning fundamentals and statistics underlying Machine Learning. History of software projects putting Machine Learning systems into production in any capacity. History of software projects in general. Deep personal interest with the complete state of the art in a subfield of Machine Learning Research. Ability to work independently, and within a team. Ability to communicate effectively 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. Preferred qualifications MS. or PhD in Machine Learning, or related field Extensive AWS or GCP experience putting scalable Machine Learning systems into production. Experience working with extremely high volume / high throughput data in a data lake / data warehousing / training / production environment. Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow. Publications in AI/ML journals or conferences. Equal Employment Opportunity (EEO) Policy Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.   Full-Time/Part-Time Full-Time   Exempt/Non-Exempt Exempt   About the Organization Eccalon provides global solutions to the most challenging technological issues of the 21st-century, and our evolving portfolio spans five major markets: Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advance Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences. Why Join Us? Eccalon's Executives foster a supportive work environment allowing our teams to thrive, and have a fierce dedication to innovation, security, and people. Our culture is built on inclusion, teamwork, trust, and we are committed to offering career advancement opportunities to all employees. Encouraging a healthy and balanced life, we offer an extensive benefits package to support the wellness of our employees and their families. You will be joining a team of innovators, working with cutting edge technologies, supporting mission critical projects, and making an impact. Apply today to advance your career!   This position is currently accepting applications. Apply Now WE ALSO RECOMMEND Other Jobs Within Same Category Principal Software Engineer- Onsite in Detroit, MI Posted on: 5/25/2026 [Apply Now] Systems Engineer- Onsite in Detroit, MI Posted on: 5/25/2026 [Apply Now] AI Expert- Software in Detroit, MI Posted on: 5/22/2026 [Apply Now] Network Engineer - onsite in Detroit, MI Posted on: 5/22/2026 [Apply Now] Other Jobs Within 60 Miles AI Expert- Software in Detroit, MI Posted on: 5/22/2026 [Apply Now] Network Engineer - onsite in Detroit, MI Posted on: 5/22/2026 [Apply Now] Principal Software Engineer- Onsite in Detroit, MI Posted on: 5/25/2026 [Apply Now] Systems Engineer- Onsite in Detroit, MI Posted on: 5/25/2026 [Apply Now] Director of Software Engineering in Detroit, MI Posted on: 3/3/2026 [Apply Now] Follow us See who works here:

 

AppOne.comTM   ©1999-2024 HR Services, Inc. Click here for technical assistance.