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