Compensation Overview

Neural research engineer

Important note: This is an on-site role in Brooklyn, NYC with no remote option. Please only apply if you are already based in NYC or willing to relocate.

Role

We are looking for a Neural research engineer to join our Neuroscience and Algorithms team. The neural research engineer will be responsible for supporting the research tools and activities set out by the technical lead. To succeed in this role, you will need to be passionate about building tools that enable the rapid development of cutting-edge technology. You’ll join an interdisciplinary team of scientists and engineers to build infrastructure that supports the rapid development of neural decoding algorithms. This is a high-impact role at the core of Synchron’s technology. Their key responsibilities will be to:

• Implement well-defined and designed functionalities of the Synchron’s research tools, in particular, the neural decoding and analysis engine.
• Collaborate with the data scientists and the technical lead to find points of efficiency improvements.
• Monitor and develop Synchron’s custom libraries to meet research needs.
• Provide technical support to other developers who are integrating the package in other elements of the tools.
• Aid in development of front-end of the tools.
• Aid in research utilizing the tools.

Minimum Qualifications and experience

• Master’s degree in computer science, electrical engineering, science, mathematics or equivalent experience.
• Expertise in Python.
• Hands-on experience using scientific computing (e.g., Pandas, Numpy) and machine learning (e.g., sklearn, PyTorch,Tensorflow) libraries, for data science activities (exploring, analyzing and visualizing data).
• Excellent teamwork and communication skills.

Highly desired Qualifications

• Experience in implementing a Python package, or alike.
• Familiarity with general principles of time-series based data science.
• Strong proficiency in HTML, CSS, JavaScript, and a modern frontend framework (e.g., React, Angular, Vue)
• Experience conducting research with time-series and/or physiological data.
• Proficiency with cloud-computing tools (AWS).
• Experience building software frameworks for high-throughput data acquisition.
• Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
• Experience optimizing large-scale training and fine-tuning large models.
• Strong problem-solving abilities and adaptability to evolving project requirements.

Benefits

• USD110,000 – USD135,000
• Possible stock options
• Health insurance
• Disability/life insurance
• 401k
• Discretionary paid time off (“unlimited PTO”)
• Professional development opportunities