AI/ML Software Engineer
3 weeks ago
Position: AI/ML Software Engineer
Location: Hybrid in Dearborn, MI (3 days a week onsite)
Duration: 1 year contract with possible extensions
Pay Range: $40-$50/hr
**Exact compensation may vary based on several factors, including skills, experience, and education.
**Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Day to Day:
Insight Global is looking for a Software Engineer to sit hybrid onsite for one of our largest automotive clients our of Dearborn, MI. You will be joining a team responsible for the in-vehicle infotainment within commerical vehicles. They will be responsible for designing and developing Artificial Intelligence systems for software quality and warranty. In this role, you will lead the development and maintenance of AI and machine learning algorithms to measure and identify for the performance of Infotainment systems. You will own delivery of highly stable and high-quality product. Our infotainment systems must be equipped to handle the use cases of today and those of tomorrow. Our ambitions reach well beyond existing solutions, and we are in search of innovative individuals to join this team. Ideal candidates will have experience in artificial intelligence and machine learning and big data analytics and delivering such a trained system. Candidate should have excellent interpersonal and communications skills. Success in this role requires someone who is centered around product and engineering excellence with a bias for action; thrives in a fast-paced, dynamic environment; successfully partners with a wide group of people at multiple levels of the company; and embodies our practices for diverse teams.
Must Haves:
- 3+ years of total experience minimum
- Experience and understanding of the complete software lifecycle for embedded systems
- Experience in 2 or more of the following:
- Regression algorithms for interpolation and extrapolation (both linear and non linear)
- Time series analysis and statistics, autoregressive models, filtering algorithms
- Gaussian processes and/or kernel methods - Bayesian Statistics
- Modeling with different neural network architectures: MLP, CNN, RNN
- Quantitative model performance assessment using cross validation – blind testing
- Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)
- Uncertainty quantification and propagation for time series analysis and forecasting
- 3 years of experience with delivering and maintaining production software products
- Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field
Plusses:
- Doctorate degree in related field and 2 years of data science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)
- Masters degree and 3+ years of data science experience
- Bachelors degree and 5+ years of experience within data science
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