Machine Learning Engineer Full-time

Role: Machine Learning Engineer
Location:100% Remote
Duration:Perm/Direct-Hire
Description:
As a Machine Learning Engineer in the AI squad, reporting to the Director of AI Engineering, you’ll focus on developing AI-driven solutions to combat vehicle and content theft. This role is critical for driving innovation in our security technologies, helping to safeguard assets and push the boundaries of what’s possible in the field. If you’re passionate about solving real-world challenges with cutting-edge solutions, this is the opportunity for you.
Responsibilities:

• Use machine learning techniques to train, debug, and evaluate models for customer deliveries ranging from quick prototypes to full production-level models.
• Perform exploratory data analysis on the large sensory datasets (image, audio, radar) we have gathered, to develop greater understanding of the problem domain.
• Define and improve best practices of ML systems development, testing and evaluation.
• Work closely with data collection teams, Data and MLOps engineers, and Quality Assurance to improve the quality of our datasets and pipelines.
• Work with product managers to help integrate the machine learning solutions and deliver on the desired user experience.

Requirements

• 3+ years’ experience and knowledge of applying machine learning or statistical techniques to solve real-world problems, ideally within the computer vision or audio domain (e.g., presence detection, speech processing, etc.).
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• Strong experience using Python and common data and machine learning-related libraries, such as Keras/TensorFlow or Pytorch, numpy, scipy, Pandas, etc.
• Proficient experience with C++ and running optimised machine learning-based applications on edge hardware.
• Proficiency using the command line including shell scripting, ideally in a Unix-based environment (e.g. Linux, macOS).
• Knowledge of basic signal processing techniques.

Preferred Qualifications:

• Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
• Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.
• Experience using cloud computing platforms, e.g., AWS or GCP desired.

Benefits

• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Generous Paid Time Off, Sick, and Holidays
• Family Leave (Maternity, Paternity)
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated’s Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.