This range is provided by Inhabitr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$120,000.00/yr - $150,000.00/yr
About Inhabitr
Inhabitr is a fast-growing furniture tech company revolutionizing the industry. We offer a unique platform where customers can buy or rent furniture, catering to professionals, students, realtors, and homeowners. Our innovative approach combines technology with furniture solutions to provide unparalleled flexibility and convenience.
Position Overview
We are seeking a talented Machine Learning Engineer to join our Data Science and Engineering team. This role offers an exciting opportunity to apply your skills in machine learning, computer vision, and MLOps to drive innovation in the furniture tech industry. The ideal candidate will have a strong foundation in deep learning frameworks and cloud technologies, with a passion for developing and deploying AI-driven solutions.
Key Responsibilities
Develop and implement machine learning models, with a focus on computer vision applications
Design and maintain scalable data pipelines using cloud technologies (AWS, GCP)
Contribute to the end-to-end machine learning lifecycle, from data preparation to model deployment
Collaborate with cross-functional teams to integrate AI solutions into our products
Optimize ML models for performance and scalability
Implement MLOps best practices to ensure efficient model deployment and monitoring
Technical Skills Required
Strong proficiency in Python, with expertise in deep learning frameworks (PyTorch, Keras, TensorFlow)
Experience with computer vision libraries and techniques
Familiarity with cloud platforms (AWS, GCP) and big data technologies (Spark)
Proficiency in data manipulation and analysis using pandas, numpy, and scikit-learn
Experience with data visualization tools (plotly express, seaborn, matplotlib)
Knowledge of SQL for data querying and manipulation
Familiarity with version control (Git) and containerization (Docker)
Understanding of MLOps principles and practices
Additional Desirable Skills
Experience with 3D data processing (open3D)
Familiarity with MATLAB
Knowledge of advanced visualization techniques (manim)
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, or related field
3-5 years of experience in machine learning or software engineering roles
Demonstrated experience with deep learning and computer vision projects
Relevant certifications (e.g., Deep Learning Specialization, MLOps Specialization) are a plus
Personal Attributes
Strong problem-solving skills and attention to detail
Excellent communication skills and ability to work in a collaborative team environment
Eagerness to learn and adapt to new technologies
Passion for applying AI to real-world problems
What Inhabitr Offers
A dynamic and collaborative work environment
Opportunities for professional growth and skill development
Competitive salary and benefits package
Chance to make a significant impact in a rapidly growing tech company
Join us in shaping the future of the furniture industry through innovative data solutions!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Inhabitr by 2x
