{"id":1149118,"url":"https://alion.io/job/harman-international-principal-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":6265,"name":"HARMAN International","domain":"harman.com","url":"https://alion.io/company/harman-international","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":117,"ghost_share":0,"stale_share":0.966,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Łódź, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":99000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-13T21:39:15Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.\nA Career at HARMAN\nAs a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.\nIntroduction: A Career at HARMAN Automotive\nWe’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.\nEngineer audio systems and integrated technology platforms that augment the driving experience\nCombine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence\nAdvance in-vehicle infotainment, safety, efficiency, and enjoyment\nWhat You’ll Be Part Of\nThis 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. 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.\nHow You’ll Make An Impact\nDrive innovation and IP creation: Lead the development and maturation of new machine/deep learning technologies and regularly drive the creation of intellectual property.\nArchitect complex ML systems: Own and align the ML architecture for multiple sub-features and common functions across the organization.\nCollaborate cross-functionally: Work closely with subject matter experts, software developers, and product managers to evaluate new model architectures, training approaches, and compute resource requirements.\nEnsure product success & accountability: Take direct accountability for meeting target performance KPIs based on customer, safety, and product requirements.\nShape the technology vision: Own the ML technology roadmap and continuously refine the ML development process for your area.\nFoster external collaborations: Drive technical partnerships with cross-functional teams, external partners, and hardware/software vendors.\nWhat Makes You A Strong Fit\nEducation: Master’s degree in a relevant field (Electronics, Computer Science, Electrical Engineering, or related technical discipline).\nExperience: 6+ years of relevant industry experience in machine learning and software engineering.\nOwnership 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.\nDomain expertise: Strong conceptual understanding of image/video processing, computer vision, and deep learning techniques.\nEdge deployment: Demonstrated knowledge of ML/DL algorithms optimized for edge execution (efficient architectures, model quantization, pruning, etc.).\nCoding proficiency: Strong programming skills in Python and C++.\nML stack: Solid hands-on familiarity with PyTorch and standard data science libraries.\nBonus Points if You Have\nAdvanced degree: Master’s by Research or PhD in Computer Vision, Machine Learning, or related fields.\nPublications & patents: Track record of authoring peer-reviewed publications or patents.\nAutomotive AI context: Experience in automotive AI projects, including managing data collection requirements, edge validation, and safety-critical standards.\nHardware awareness: Understanding of computer architecture, embedded systems, and hardware accelerators (GPUs, NPUs, SoCs).\nTarget platform deployment: Hands-on experience deploying and optimizing deep neural networks on edge platforms from Qualcomm, NVIDIA, Samsung, or similar vendors.\nThings To Know\nThis role is based in Łódź, Poland and follows a hybrid work model, requiring 3 days per week in our Łódź office.\n What You Can Expect\nFlexible work environment,\nAccess to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.),\nExtensive training opportunities through our own HARMAN University,\nCompetitive wellness benefits,\n“Be Brilliant” employee recognition and rewards program,\nAn inclusive and diverse work environment that fosters and encourages professional and personal development.\nHARMAN is proud to be an Equal Opportunity / Affirmative Action employer. 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