AI Software Engineer for Machine Learning and Deep Learning

6 days ago


Long Beach, California, United States MiTek USA Full time

About MiTek USA

MiTek USA is a leading platform innovator that exists to transform the building industry with better building solutions. With nearly 5,600 team members worldwide, we collaborate across the building industry to enable and accelerate transformational breakthroughs in design and construction.

Compensation Package

We offer an attractive compensation package including a salary of $120,000 - $180,000 per year, based on experience. Additionally, our benefits include flexible paid time off, medical, dental and vision insurance, profit sharing plan, annual incentive plan, 13 paid holidays, 401k plan with matching contributions, paid parental leave and caregiver leave, short-term disability coverage, long-term disability coverage and life insurance.

Job Description

We are seeking an experienced AI software engineer to join our team as a machine learning and deep learning engineer. As a key member of our engineering team, you will be responsible for developing and deploying scalable and robust machine learning and deep learning solutions for various domains, such as computer vision, natural language processing, speech recognition, recommender systems, reinforcement learning, generative AI, and multimodal models.

Responsibilities

  1. Conduct literature review and experimental evaluation of state-of-the-art algorithms, models, services, and tools.
  2. Use state-of-the-art models, algorithms, and tools to develop and iterate on POCs (proof-of-concept) in an agile fashion, including data annotation and labeling.
  3. Work on complex and large-scale data sets, applying data cleaning, preprocessing, feature engineering, and analysis techniques.
  4. Manage and coordinate multiple projects, ensuring they meet the quality standards, timelines, and budget constraints.
  5. Create and present clear and concise reports, dashboards, and presentations to communicate the results and insights to internal and external stakeholders.
  6. Collaborate with cross-functional teams of engineers, product managers, designers, and domain experts to understand business needs, perform feasibility analysis, and deliver high-impact solutions.
  7. Keep abreast of the latest developments and trends in artificial intelligence and machine learning and identify new opportunities and challenges.
  8. Engage with customers and partners to understand their pain points and requirements, collect and analyze data, and provide technical support and consultation.

Qualifications

  • Bachelors degree in a related field required.
  • 3+ years of experience in developing and deploying machine learning and deep learning solutions for various domains required.
  • Proficient in Python and SQL required.
  • Experience with wide range of machine learning, deep learning, and deployment frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, OpenCV, Restful APIs, Docker, GPT APIs, Flask, Huggingface required.
  • Experience in working with cloud platforms such as Azure, AWS, or Google Cloud required.
  • Strong analytical and problem-solving skills, and the ability to work independently and in a team.
  • Excellent communication and presentation skills, and the ability to explain complex technical concepts to a non-technical audience.


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