At a Glance
- Tasks: Lead AI and ML initiatives, driving innovation and engineering excellence across the company.
- Company: Axelera AI is a pioneering deep-tech startup focused on advancing humanity through AI technology.
- Benefits: Enjoy flexible working arrangements, competitive pay, pension plans, and opportunities for company shares.
- Why this job: Join a dynamic team shaping the future of AI with a culture of creativity and inclusivity.
- Qualifications: PhD in relevant fields and 10+ years of impactful AI/ML experience required.
- Other info: Remote work options available across Europe; we value diversity and welcome applicants from all backgrounds.
The predicted salary is between 72000 - 108000 £ per year.
About Us
Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just three years, we have raised a total of $120 million and have built a world-class team of 180+ employees (including 55+ PhDs with more than 40,000 citations), both remotely from 11 different countries and with offices in Belgium, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge?
Position Overview
As a Distinguished Engineer at Axelera AI, you will play a pivotal role in shaping the company’s AI and machine learning strategy with a long-term, industry-leading perspective. You will work cross-functionally to develop transformative AI technologies, influencing company-wide initiatives, and setting new standards for engineering excellence. This role transcends traditional boundaries, requiring a visionary mindset that anticipates future industry trends and technological advancements.
Key responsibilities:
- Own and deliver company-wide AI and ML initiatives with multi-year, multi-team impact, ensuring scalability and adaptability beyond current business needs.
- Provide thought leadership and influence Axelera AI’s strategic direction by engaging with senior leadership, external partners, and industry consortiums.
- Lead the research and development of next-generation AI and ML models, driving significant breakthroughs in efficiency, performance, and innovation.
- Spearhead engineering best practices, setting a high standard for system architecture, code quality, and team processes.
- Actively contribute to hiring, mentoring, and coaching senior engineers, fostering a high-performance culture that attracts top talent.
- Publish research findings, contribute to industry discussions, and represent Axelera AI at conferences and external engagements.
- Bridge the gap between technical capabilities and business needs by collaborating with product and business teams to define roadmaps and strategic opportunities.
- Lead large-scale, high-impact projects with exceptional execution, managing ambiguity, tight deadlines, and evolving requirements.
- Drive continuous improvement by leveraging industry best practices, customer insights, and cutting-edge research to enhance Axelera AI's AI/ML solutions.
- Foster a strong engineering community within Axelera AI by championing hybrid/remote-first collaboration practices, inclusion, and diversity initiatives.
- Partner with executive leadership to define a long-term vision for AI and ML at Axelera AI, ensuring alignment with both market demands and technical advancements.
- Develop scalable solutions and frameworks that empower multiple teams, enabling efficient ML deployment across Axelera AI’s product ecosystem.
- Take ownership of technical decision-making, ensuring optimal solutions for the broader organization while driving innovation and calculated risk-taking.
- Model a standard of excellence, accountability, and leadership that inspires teams and influences company-wide culture and strategy.
Qualifications:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
- 10+ years of post-PhD experience in AI/ML research and development, with a track record of leading large-scale projects and driving impactful innovations outside of academia.
- Deep expertise in AI/ML frameworks, deep learning algorithms, and hardware-optimized machine learning.
- Strong background in neuromorphic computing, hardware-efficient AI, or computational neuroscience is a plus.
- Experience managing and mentoring senior engineers, influencing company-wide technical direction, and driving engineering excellence.
- Exceptional communication skills with the ability to influence executives, engineers, and external stakeholders.
- A robust and continuous (incl. last 2 years) history of contributions to academic research, open-source projects, or industry consortiums is highly desirable.
Location
We offer a flexible working arrangement, with options to:
- Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy, Paris in France or Bristol in the United Kingdom) if you are already based in the vicinity.
- Work fully remotely from any European country (incl. the UK) you are already in.
- Relocate from outside Europe/UK to one of the cities where we have an established office.
What we offer
This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.
Distinguished Engineer - Machine Learning (VP level) employer: Axelera AI
Contact Detail:
Axelera AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distinguished Engineer - Machine Learning (VP level)
✨Tip Number 1
Network with professionals in the AI and machine learning field. Attend industry conferences, webinars, and meetups to connect with potential colleagues and leaders at Axelera AI. Building relationships can give you insights into the company culture and may even lead to referrals.
✨Tip Number 2
Stay updated on the latest trends and breakthroughs in AI and machine learning. Follow relevant publications, blogs, and thought leaders on social media. This knowledge will not only prepare you for interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 3
Engage with Axelera AI's online presence. Follow their social media accounts, participate in discussions, and share your thoughts on their projects. Showing genuine interest in their work can help you stand out as a candidate who is truly invested in their mission.
✨Tip Number 4
Prepare to discuss your leadership experience in detail. As a Distinguished Engineer, you'll need to showcase how you've successfully led large-scale projects and mentored teams. Be ready with specific examples that highlight your impact and ability to drive innovation.
We think you need these skills to ace Distinguished Engineer - Machine Learning (VP level)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning, particularly any leadership roles or large-scale projects you've managed. Use specific metrics to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your vision aligns with Axelera AI's mission. Mention specific projects or innovations you’ve led that relate to the role and how you can contribute to their goals.
Showcase Your Research Contributions: Include a section in your application that details your contributions to academic research, open-source projects, or industry consortiums. Highlight any publications or presentations that demonstrate your thought leadership in the field.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML frameworks and algorithms during the interview process. Be ready to discuss your approach to problem-solving and how you stay updated with industry trends and advancements.
How to prepare for a job interview at Axelera AI
✨Showcase Your Visionary Mindset
As a Distinguished Engineer, it's crucial to demonstrate your ability to anticipate future industry trends. Prepare examples of how you've previously identified and acted on emerging technologies or methodologies in AI and machine learning.
✨Highlight Cross-Functional Collaboration
This role requires working across various teams. Be ready to discuss your experience in leading cross-functional projects and how you effectively communicate and collaborate with different stakeholders to achieve common goals.
✨Demonstrate Thought Leadership
Prepare to discuss your contributions to the AI/ML community, such as publications or open-source projects. This will showcase your commitment to innovation and your ability to influence the strategic direction of the company.
✨Emphasise Mentorship and Team Building
Since mentoring senior engineers is part of the role, share your experiences in coaching and developing talent. Highlight how you've fostered a high-performance culture and attracted top talent in your previous positions.