Job#: 2051132
Job Description:
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.
