Job Description

Cognixion is an internationally award-winning neuroscience and technology company pioneering the field of Assisted Reality. Cognixion develops AI powered non-invasive BCI (Brain Computer Interface), assistive tech, and delightfully useful applications for people, including those affected by neurodevelopmental disorders and injuries to the brain and spinal cord. With offices in Santa Barbara, California and Toronto, Ontario, the company develops software that helps people with communication challenges express themselves significantly faster than any other solution on the market. For more information, please visit .

We’re on a global mission . Join us as we transform the lives of millions of people, and design and develop some of the most advanced technology available. We want this to be your forever home, and the place where you will tell everyone that you’ve done the best work of your life.

Position Overview:

Cognixion Corp. is seeking a highly skilled and experienced Senior Staff Data Scientist to join our dynamic team. As a Senior Staff Data Scientist, you will play a crucial role in advancing our machine learning capabilities, with a focus on signals-oriented approaches, especially in the domain of biological signals. The ideal candidate will possess a PhD in a relevant field and bring a minimum of 3 years of hands-on experience in developing and deploying machine learning models.

Responsibilities:

1. Research and Development:

• Lead the design and implementation of advanced machine learning algorithms, with a particular emphasis on biological signals-oriented methodologies.
• Investigate and apply state-of-the-art techniques in machine learning to enhance the capabilities of our products.
• Innovate and develop new intellectual property that contributes to the competitive positioning of Cognixion.

1. Biological Signals Expertise:

• Leverage a deep understanding of biological signals, including EEG, ECG, and EMG, to develop innovative solutions and insights.
• Collaborate with cross-functional teams to integrate biological signal processing into our products.

1. Model Training and Evaluation:

• Develop, train, and optimize machine learning models for real-world applications, ensuring high performance and accuracy.
• Establish rigorous evaluation metrics and methodologies to assess the effectiveness of developed models.

1. Collaboration and Leadership:

• Collaborate with cross-functional teams, including software engineers, hardware engineers, and UX/UI designers, to integrate machine learning solutions seamlessly.
• Provide mentorship and guidance to junior team members.

1. Continuous Learning:

• Stay abreast of the latest developments in machine learning, signals processing, and related fields.
• Contribute to the company's knowledge base through the publication of research papers and participation in relevant conferences.

Must Have Qualifications

• PhD in a relevant field (Computer Science, Electrical Engineering, etc.).
• 3 or more years of hands-on experience in signals-oriented machine learning.
• Strong expertise in biological signals, including EEG, ECG, and EMG.
• Proven track record of designing, implementing, and deploying machine learning models.
• Proficiency in programming languages such as Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).
• Excellent communication and collaboration skills.

Nice to Have Qualifications

• Experience with wearable computing, augmented reality or similar human-machine interfaces.
• Industry/commercial experience with demonstrated outcomes in the form of products or technologies that have translated from research to production.
• Publication or patent record demonstrating contributions to the field.

How to Apply:

If you are a passionate and experienced data scientist with a keen interest in signals-oriented machine learning, and you are excited about contributing to groundbreaking projects at the intersection of technology and human cognition, we would love to hear from you. Please submit your resume, cover letter, and any relevant portfolio or publications to [email@example.com].

Cognixion Corp. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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