Distinguished Engineer - Machine Learning (VP level) - (Remote - Europe)

Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Distinguished Engineer - Machine Learning (VP level) in Europe.

As a Distinguished Engineer in Machine Learning, you will play a key role in shaping the company’s AI and machine learning strategy. With a focus on long-term, innovative goals, you will lead transformative AI technologies, setting new standards for engineering excellence. You’ll collaborate across teams, drive AI/ML initiatives, and influence strategic decisions, pushing the boundaries of industry standards and anticipating future technological advancements.

Accountabilities:

• Lead the development and execution of multi-year, company-wide AI and ML initiatives, ensuring scalable solutions that address both current and future business needs.
• Provide strategic leadership by engaging with senior leadership, external partners, and industry groups, influencing the company’s direction and technical strategy.
• Spearhead the research and development of next-generation AI and ML models, driving innovation and performance breakthroughs.
• Foster a high-performance culture by mentoring and coaching senior engineers and contributing to recruitment efforts.
• Represent the company at conferences and external forums, publishing research findings and contributing to industry discussions.
• Collaborate closely with product and business teams to define roadmaps and drive alignment between technical capabilities and business goals.
• Manage large-scale, high-impact projects, ensuring exceptional execution while navigating ambiguity and evolving requirements.
• Drive continuous improvement through the adoption of industry best practices and cutting-edge research.

Requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 10+ years of experience in AI/ML research and development post-PhD, with proven success in leading large-scale projects and driving innovation beyond academia.
• Expertise in AI/ML frameworks, deep learning algorithms, and hardware-optimized machine learning.
• Experience in neuromorphic computing, hardware-efficient AI, or computational neuroscience is a plus.
• Proven leadership experience in managing senior engineers, influencing technical direction, and driving engineering excellence.
• Strong communication skills with the ability to influence and engage executives, engineers, and external stakeholders.
• A history of contributions to academic research, open-source projects, or industry consortiums is highly desirable.

Benefits

• Flexible working arrangements, including options to work from one of several office locations or remotely from any European country.
• Attractive compensation package, including pension plans and employee insurance.
• Opportunity to receive company shares.
• Collaborative and inclusive company culture that encourages creativity, innovation, and ownership.
• Equal opportunity and commitment to diversity, ensuring a welcoming environment for all team members.
• Comprehensive support for career growth and development within a fast-growing international organization.

Jobgether hiring process disclaimer This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

· If you are among the top 5 candidates, you will be notified within 7 days.

· If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Originally posted on Himalayas