We are seeking a highly skilled and motivated Machine Learning Researcher (BioScience Imaging) to join our team. As a Machine Learning Researcher, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to gather requirements, analyze data, and deliver innovative solutions. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact in the field of artificial intelligence.
Responsibilities:
- Develop and deploy machine learning models and algorithms to solve business problems
- Collaborate with data scientists, software engineers, and product managers to define project goals and requirements
- Collect, clean, and preprocess large datasets for analysis
- Apply statistical analysis techniques to extract insights from data
- Implement and optimize machine learning algorithms using Python, TensorFlow, and other frameworks
- Conduct experiments to evaluate model performance and make improvements as needed
- Stay up-to-date with the latest advancements in machine learning and AI technologies
Skills:
- Strong programming skills in Python
- Solid understanding of machine learning concepts and algorithms
- Experience with analytics tools such as Hadoop, Spark, or similar
- Knowledge of natural language processing (NLP) techniques
- Familiarity with big data technologies and data mining techniques
- Proficiency in AI frameworks like TensorFlow or PyTorch
- Ability to write VBA scripts for data manipulation is a plus
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Proven experience in developing machine learning models and algorithms
- Strong analytical thinking and problem-solving skills
- Excellent communication and collaboration abilities
Job Type: Full-time
Pay: $183,439.00 - $204,895.00 per year
Benefits:
- 401(k)
- Dental insurance
- Employee assistance program
- Health insurance
- Professional development assistance
Ability to Relocate:
- New York, NY 10010: Relocate before starting work (Required)
Work Location: Hybrid remote in New York, NY 10010