Principal Machine Learning Engineer

Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role: This position is part of AES within HARMAN Automotive’s Ready Care project, focused on delivering production‑ready in‑cabin camera features (such as driver monitoring, child presence detection, and occupant classification) that enhance safety and well‑being for drivers and passengers. We are seeking a hands-on and versatile engineer to develop advanced image processing and AI-based features. We expect natural technological curiosity, strong initiative, and a commitment to taking full end-to-end product ownership—from initial concept to deployment. Experience as a Product or Feature Owner is highly desirable, allowing you to seamlessly bridge the product vision with technical execution. You will work closely with domain experts, data scientists, embedded developers, and product managers to build complex machine learning (ML) systems that solve real-world problems in production.

What You Will Do:

• Lead end-to-end product feature development: Take ownership of ML-based systems and algorithms from early research to production delivery, ensuring alignment with overall product goals.
• Act as a Feature Owner: Drive the scope, vision, and execution of specific camera-based features, serving as the primary point of contact for technical and product decisions in your area.
• Drive innovation and IP creation: Lead the development and maturation of new machine/deep learning technologies and regularly drive the creation of intellectual property.
• Architect complex ML systems: Own and align the ML architecture for multiple sub-features and common functions across the organization.
• Collaborate cross-functionally: Work closely with subject matter experts, software developers, and product managers to evaluate new model architectures, training approaches, and compute resource requirements.
• Ensure product success & accountability: Take direct accountability for meeting target performance KPIs based on customer, safety, and product requirements.
• Shape the technology vision: Own the ML technology roadmap and continuously refine the ML development process for your area.
• Foster external collaborations: Drive technical partnerships with cross-functional teams, external partners, and hardware/software vendors.

What You Need to Be Successful:

• Education: Master’s degree in a relevant field (Electronics, Computer Science, Electrical Engineering, or related technical discipline).
• Experience: 8+ years of relevant industry experience in machine learning and software engineering.
• Ownership mindset: Proven track record of taking full accountability for deliverables, exhibiting high curiosity about what and why features are built, and proactively driving solutions to real-world production challenges.
• Domain expertise: Strong conceptual understanding of image/video processing, computer vision, and deep learning techniques.
• Edge deployment: Demonstrated knowledge of ML/DL algorithms optimized for edge execution (efficient architectures, model quantization, pruning, etc.).
• Coding proficiency: Strong programming skills in Python and C++.
• ML stack: Solid hands-on familiarity with PyTorch and standard data science libraries.

Bonus Points if You Have:

• Product ownership experience: Formal experience or background as a Product Owner, Feature Owner, or System Architect within Automotive or IoT domains.
• Advanced degree: Master’s by Research or PhD in Computer Vision, Machine Learning, or related fields.
• Publications & patents: Track record of authoring peer-reviewed publications or patents.
• Automotive AI context: Experience in automotive AI projects, including managing data collection requirements, edge validation, and safety-critical standards.
• Hardware awareness: Understanding of computer architecture, embedded systems, and hardware accelerators (GPUs, NPUs, SoCs).
• Target platform deployment: Hands-on experience deploying and optimizing deep neural networks on edge platforms from Qualcomm, NVIDIA, Samsung, or similar vendors.

What Makes You Eligible:

• Willingness to work in a hybrid model, 3 days per week from our Łódź office.

What We Offer

• Flexible work environment,
• Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.),
• Extensive training opportunities through our own HARMAN University,
• Competitive wellness benefits,
• “Be Brilliant” employee recognition and rewards program,
• An inclusive and diverse work environment that fosters and encourages professional and personal development.

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You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', ‘@careers.harman.com’ or ‘harmanglobal.avature.net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: [email protected].

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)