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- Tasks: Lead transformative AI projects and set engineering standards at Axelera AI.
- Company: Axelera AI is a pioneering deep-tech startup focused on advancing humanity through AI.
- Benefits: Enjoy flexible working options, competitive pay, and a culture of creativity and innovation.
- Why this job: Join a dynamic team shaping the future of AI with impactful projects and a collaborative environment.
- Qualifications: PhD in relevant fields and 10+ years of experience in AI/ML research and development required.
- Other info: Remote work available across Europe; we value diversity and inclusivity in our team.
The predicted salary is between 72000 - 108000 £ per year.
Distinguished Engineer – Machine Learning (VP level)
Join to apply for the Distinguished Engineer – Machine Learning (VP level) role at Axelera AI
Distinguished Engineer – Machine Learning (VP level)
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Join to apply for the Distinguished Engineer – Machine Learning (VP level) role at Axelera AI
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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.
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\’re 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 Weoffer
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.
Seniority level
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Seniority level
Executive
Employment type
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Employment type
Full-time
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Job function
Engineering and Information Technology
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Industries
Semiconductor Manufacturing
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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 upcoming opportunities.
✨Tip Number 2
Stay updated on the latest trends and advancements in AI and machine learning. Follow relevant publications, blogs, and thought leaders on social media. This knowledge will not only prepare you for discussions but also demonstrate your passion and commitment to the field.
✨Tip Number 3
Engage with Axelera AI's online presence. Participate in discussions on their social media platforms or forums where they are active. Showing genuine interest in their projects and initiatives can help you stand out as a candidate who is truly invested in their mission.
✨Tip Number 4
Consider contributing to open-source projects or publishing research related to AI and machine learning. This not only enhances your portfolio but also aligns with Axelera AI's emphasis on innovation and collaboration within the engineering community.
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. Focus on your leadership roles, large-scale project management, and any innovative contributions you've made in the field.
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 achievements that demonstrate your ability to drive impactful innovations.
Showcase Your Research Contributions: Include a section in your application that details your research contributions, publications, and involvement in industry consortiums. This will highlight your expertise and commitment to advancing 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.
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 Leadership Experience
This role requires strong leadership skills. Be ready to discuss your experience in mentoring senior engineers and leading large-scale projects. Share specific instances where your leadership directly influenced project outcomes or team dynamics.
✨Communicate Effectively with Stakeholders
Exceptional communication skills are essential for this position. Practice articulating complex technical concepts in a way that is accessible to non-technical stakeholders. Prepare to discuss how you've successfully influenced executives or external partners in the past.
✨Demonstrate Continuous Learning and Contribution
Given the emphasis on innovation, be prepared to discuss your recent contributions to academic research, open-source projects, or industry consortiums. Highlight any publications or presentations that showcase your commitment to advancing the field of AI and machine learning.
