<h3>Applied ML Research Engineer </h3><h3>Remote: EU or UK </h3>🎉 About us:VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the Wisdom and Genius of Nature We are a distributed, diverse, and inclusive workforce that aspires to do our best work on important problems with exceptional people and we value: AUDACITY, ASSERTIVENESS, ALIGNMENT, ACCOUNTABILITY, ABUNDANCE &amp; AWESOMENESS.🚀 Join Our Adventure:At VERSES, were shaping the future of computing with our natural computing platform, Genius. Were looking for an Applied ML Research Engineer to contribute to our companys vision to construct a globally coherent ecosystem of intelligent agents. You will be primarily based in our Applied Research group as well as contribute to research in our Foundations of ML group. The particular focus will be using tools from Bayesian statistics inspired by the theories of the free energy principle and active inference to develop scalable and practical solutions to real-world problems. ✍️ Roles and ResponsibilitiesAs an Applied ML Research Engineer you will:<ul> <li>Contribute to specific lines of development and innovation work, to help others who are accountable for product development to implement and operationalize research results. </li> <li>Apply Bayesian techniques to real-world problems</li> <li>Contribute to developing ML theory, and publish papers.</li> <li>Review, comment, analyze and re-use Company source materials including research, patents, white papers, presentations, illustrations, and reference examples </li> <li>Distill and present your work to company leaders on a regular basis</li> </ul>🎓 Essential Qualifications <ul> <li>Have Masters degree or a PhD in a quantitative field, with experience in computer science, data science, statistics and operations research</li> <li>Demonstrated track record in applying Bayesian techniques and engaging in ML research</li> <li>Understanding of cutting edge of machine learning research</li> <li>Ability to work within a team of both ML research scientists and engineers</li> </ul>Bonus if you have:<ul> <li>Experience with active inference and the free energy principle are a plus</li> <li>You will have a background from academia, industry experience or a combination of both</li> <li>Have knowledge of implementing AI systems at scale</li> <li>Knowledge of deploying ML services on the cloud, working with big data</li> </ul>🌱 BenefitsIn addition to fostering a culture of highly engaged, emotionally intelligent, and energetic people we offer:<ul> <li>Global virtual work environment (although some positions may need to operate within specific time zones) </li> <li>Mental Health wellness programs</li> <li>Responsible paid time off policy (RTO), and company-recognized Holidays.</li> <li>Generous total rewards package</li> </ul>💵 Job Type<ul> <li>Regular, Full-time</li> <li>Remote </li> </ul>VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States without the need for sponsorship will be considered. Commitment to Inclusion and Belonging:VERSES is committed to a diverse and inclusive workplace. VERSES is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.We believe that building a welcoming and inclusive culture is essential to people doing their best work, and what we can achieve as a company. We recruit individuals from diverse backgrounds and foster an inclusive workplace. We take steps to ensure employees have a sense of belonging, feel valued, and are able to succeed and thrive.VERSES will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.VERSES currently does not accept agency resumes. Please do not forward resumes to our careers email or to VERSES employees. VERSES is not responsible for any fees or overhead related to unsolicited resumes. No agencies, please.