Senior AI/ML Engineer
Our client is a fast-growing technology company revolutionizing the $500 billion remodeling industry in the U.S. through generative AI. Their platform provides remodeling contractors with a fast, accurate, and intuitive way to create construction cost estimates in minutes. With over 600,000 potential users in the U.S., they are on a mission to dominate this market. Backed by venture capital and founded by experts from top tech companies such as Apple, Tesla, and WeWork, the company is looking for passionate team members to help drive its success.
About the Role
A Senior AI/ML Engineer is sought with a strong foundation in machine learning, computer vision, and the ability to adapt to diverse challenges. As a generalist within the team, this person will be responsible for solving real-world business problems by leveraging advanced machine learning techniques and proprietary datasets. This role requires a balance of technical expertise, analytical thinking, and cross-functional collaboration to deliver impactful solutions.
Responsibilities
- Develop Machine Learning Solutions: Apply traditional and modern ML techniques to improve estimation accuracy and optimize AI-driven features.
- Leverage Proprietary Data: Utilize extensive datasets, such as construction blueprints, to develop innovative computer vision solutions.
- Balance ML and Business Objectives: Identify and implement the most effective ML tools and approaches, aligning development with strategic goals.
- Monitor and Optimize Performance: Establish evaluation frameworks to measure and improve the effectiveness of deployed models, iterating based on results.
- Collaborate with Cross-Functional Teams: Work closely with engineering, product, and other stakeholders to integrate ML solutions seamlessly, ensuring scalability and reliability.
- Stay Up to Date: Keep track of advancements in both computer vision and machine learning, adopting promising methodologies to enhance product capabilities.
Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Experience: 5–10 years of experience in machine learning, with a proven track record of applying techniques across domains such as NLP, computer vision, and predictive analytics.
- Technical Skills:
- Proficiency in core ML tools: Pandas, NumPy, OpenCV, and scikit-learn.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with computer vision tasks, including image recognition, object detection, and processing large datasets.
- Hands-on experience with data engineering tools (SQL, Apache Airflow) for building pipelines.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
- Key Competencies:
- Problem-Solving Mindset: Ability to quickly adapt to various technical challenges, selecting the best tools and techniques.
- Collaboration Skills: Strong team player with effective communication skills for working across functions.
- Adaptability: Comfortable in a dynamic, fast-paced environment, balancing rapid iteration with high-quality outcomes.
- Data-Driven Approach: Strong analytical mindset and ability to work with proprietary datasets to unlock innovative solutions.
Ideal candidates are passionate about AI’s impact on business value and thrive in a dynamic, agile environment.