Machine Learning Engineer, Research and Development Product

Machine Learning Engineer, R&D Product

100% Remote

Who We Are…VERSES

VERSES is a cognitive computing company specializing in next-generation Artificial Intelligence. Our process is modeled after natural systems and the design principles of the human brain and the human experience. GIA™, our flagship offering, is an Intelligent Assistant accessible to everyone and powered by KOSMOS™, a network operating system enabling distributed intelligence. KOSMOS, built around open standards, transforms disparate data into knowledge models enhancing reliable collaboration between humans, machines, and AI across both digital and physical domains. Visualize a smarter world that boosts human potential through natural-inspired innovations. Discover more at VERSES, LinkedIn, and Twitter.

We are a global, diverse, and inclusive workforce striving to do our best work on significant problems with exceptional individuals. We value: AUDACITY, ASSERTIVENESS, ALIGNMENT, ACCOUNTABILITY, ABUNDANCE, & AWESOMENESS.

We're looking for pioneers keen on addressing multifaceted challenges with a global influence. If you are keen on helping us reform the world, we invite you to join us!

We are recruiting for a Senior Machine Learning Engineer who is proficient in AI and ML. The successful applicant will design, implement, and maintain sophisticated models to enhance our products and services. You will collaborate closely with data scientists, software engineers, and other stakeholders to develop and deploy scalable solutions.

Essential Functions - a/k/a Your Mission

• Design, develop, and implement models and systems capitalizing on machine learning algorithms and techniques.
• Collaborate with data scientists, software engineers, and other stakeholders to discern and understand business needs and to develop fitting solutions.
• Keep current with contemporary research in NLP, machine learning, and related fields, and incorporate those insights into our products and services.
• Create and maintain data pipelines and infrastructure to back workflows.
• Work with other teams within the organization to ensure our solutions are smoothly integrated into our products and services.
• Offer technical leadership and mentorship to fellow team members.

Who You Are…

• Holder of a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related specialization.
• Possession of at least 5 years of practice in building and deploying NLP solutions using machine learning algorithms and techniques.
• Competence in programming using Python and familiarity with machine learning platforms such as TensorFlow, , or Keras.
• Understanding NLP techniques such as text classification, sentiment analysis, named entity recognition, and topic modeling.
• Experience with data processing and review tools such as Pandas, Numpy, and Scikit-learn.
• Familiarity with data storage technologies such as SQL and NoSQL databases.
• Robust problem-solving skills and the ability to operate both independently and part of a team.
• Excellent communication and interpersonal abilities.

Even better…

• If you are an experienced Senior Machine Learning Engineer who is passionate about NLP and are keen on engaging in fascinating projects with a skilled team, we encourage you to apply for this position.
• Apart from being a vibrant, collegial, and enthusiastic culture at VERSES, we offer:
• A worldwide virtual work environment (however some positions may need to operate within specific time zones)
• For Canadian staff members: benefits stipend
• Paid time off includes responsible time off policy (RTO), sick time in compliance with all State and Federal guidelines, and of course, company recognized Holidays!!
• Investment in the career growth and development of our team
• Generous total rewards package which includes competitive base pay, potential for bonuses, equity shares.
• The remuneration range for our roles are market-based and correlate with multiple influencing factors. The final compensation within the range will be dependent upon the individual's skills, experience, qualifications, and compliant with local laws.

These statements conform to positions in the U.S., for San Francisco-based positions, qualifying candidates with arrest and conviction records will be considered following the San Francisco Fair Chance Ordinance. For positions in Colorado and New York City, these statements adhere to applicable laws.

Job Type

Regular, Full-time

Location: Remote

All eligible candidates will be considered for employment without bias towards race, sex, color, religion, national origin, protected veteran status, or on the basis of disability, gender identity, and sexual orientation.

All listed tasks and responsibilities are essential to this position. However, business conditions may necessitate reasonable accommodations for additional tasks and responsibilities.