At a Glance
- Tasks: Join us as an Applied ML Research Engineer, tackling real-world problems with innovative solutions.
- Company: VERSES is a cutting-edge cognitive computing company inspired by nature's wisdom.
- Benefits: Enjoy remote work, mental health programs, and a generous rewards package.
- Other info: This role is fully remote within the EU or UK; no visa sponsorship available.
- Why this job: Be part of a diverse team shaping the future of intelligent software systems.
- Qualifications: Master's or PhD in a quantitative field with experience in ML research and Bayesian techniques.
The predicted salary is between 28800 - 48000 £ per year.
Applied ML Research Engineer
Remote: EU or UK
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 & AWESOMENESS.
Join Our Adventure:
At VERSES, we\'re shaping the future of computing with our natural computing platform, Genius.
We\'re looking for an Applied ML Research Engineer to contribute to our company\'s 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 Responsibilities
As an Applied ML Research Engineer you will:
- Contribute to specific lines of development and innovation work, to help others who are accountable for product development to implement and operationalize research results.
- Apply Bayesian techniques to real-world problems
- Contribute to developing ML theory, and publish papers.
- Review, comment, analyze and re-use Company source materials including research, patents, white papers, presentations, illustrations, and reference examples
- Distill and present your work to company leaders on a regular basis
Essential Qualifications
- Have Master\'s degree or a PhD in a quantitative field, with experience in computer science, data science, statistics and operations research
- Demonstrated track record in applying Bayesian techniques and engaging in ML research
- Understanding of cutting edge of machine learning research
- Ability to work within a team of both ML research scientists and engineers
Bonus if you have:
- Experience with active inference and the free energy principle are a plus
- You will have a background from academia, industry experience or a combination of both
- Have knowledge of implementing AI systems at scale
- Knowledge of deploying ML services on the cloud, working with big data
Benefits
In addition to fostering a culture of highly engaged, emotionally intelligent, and energetic people we offer:
- Global virtual work environment (although some positions may need to operate within specific time zones)
- Mental Health wellness programs
- Responsible paid time off policy (RTO), and company-recognized Holidays.
- Generous total rewards package
Job Type
- Regular, Full-time
- Remote
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.
#J-18808-LjbffrApplied ML Research Engineer employer: VERSES Inc.
At VERSES, we pride ourselves on being an exceptional employer that champions a culture of innovation and inclusivity. Our remote work environment allows you to collaborate with a diverse team of talented individuals across the EU and UK, while our commitment to mental health wellness and generous rewards package ensures that you feel valued and supported. Join us in shaping the future of computing, where your contributions as an Applied ML Research Engineer will not only advance your career but also make a meaningful impact on real-world challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Research Engineer
✨Tip Number 1
Familiarise yourself with Bayesian techniques and the free energy principle, as these are key areas for the Applied ML Research Engineer role. Engaging with recent research papers or online courses can help you demonstrate your knowledge during discussions.
✨Tip Number 2
Network with professionals in the field of machine learning and cognitive computing. Attend relevant webinars or conferences to connect with potential colleagues at VERSES and gain insights into their work culture and projects.
✨Tip Number 3
Prepare to discuss your previous experiences in applying ML research to real-world problems. Be ready to share specific examples of how you've used Bayesian methods in your past projects, as this will showcase your practical skills.
✨Tip Number 4
Stay updated on the latest advancements in machine learning and AI systems. Being knowledgeable about current trends and breakthroughs will not only impress the interviewers but also show your passion for the field.
We think you need these skills to ace Applied ML Research Engineer
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and qualifications required for the Applied ML Research Engineer position. Familiarise yourself with Bayesian techniques and the free energy principle, as these are key aspects of the role.
Tailor Your CV:Customise your CV to highlight relevant experience in machine learning, statistics, and any specific projects where you've applied Bayesian techniques. Make sure to include your academic qualifications and any publications if applicable.
Craft a Compelling Cover Letter:Write a cover letter that not only showcases your technical skills but also reflects your alignment with VERSES' values such as audacity and accountability. Share your passion for cognitive computing and how you can contribute to their vision.
Showcase Your Research Experience:If you have published papers or contributed to significant research projects, summarise these experiences in your application. Highlight how your work aligns with the innovative goals of VERSES and your ability to distill complex ideas for diverse audiences.
How to prepare for a job interview at VERSES Inc.
✨Showcase Your Bayesian Knowledge
Since the role focuses on applying Bayesian techniques, be prepared to discuss your experience with these methods. Bring examples of how you've used Bayesian statistics in previous projects or research, and be ready to explain complex concepts in a simple way.
✨Demonstrate Team Collaboration Skills
This position requires working closely with both ML research scientists and engineers. Highlight your past experiences where you successfully collaborated within a team, especially in interdisciplinary settings. Share specific instances where your teamwork led to successful outcomes.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and statistics. Brush up on the latest trends in ML research and be ready to discuss how they relate to the company's vision. Practising coding problems or case studies can also help you feel more confident.
✨Align with Company Values
VERSES values audacity, assertiveness, alignment, accountability, abundance, and awesomeness. Research these values and think about how your personal values align with them. Be prepared to share examples from your past that demonstrate these qualities in action.
