Machine Learning Engineer

Posted One Month Ago
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Ogrodowa, Leśniowice, Chełmski, Lubelskie, POL
In-Office
Senior level
Consumer Web • Information Technology
The Role
Lead end-to-end development and ownership of in-cabin camera ML features (driver monitoring, child presence, occupant classification). Architect ML systems, drive research and IP, optimize models for edge deployment, collaborate cross-functionally, meet safety and performance KPIs, and manage technical partnerships and product roadmap.
Summary Generated by Built In
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.

A Career at HARMAN

As 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.

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

What You’ll Be Part Of

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. 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.


How You’ll Make An Impact

  • 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 Makes You A Strong Fit

  • Education: Master’s degree in a relevant field (Electronics, Computer Science, Electrical Engineering, or related technical discipline).
  • Experience: 6+ 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

  • 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.

Things To Know

  • This role is based in Łódź, Poland and follows a hybrid work model, requiring 3 days per week in our Łódź office.

What You Can Expect

  • 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.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. 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.

Skills Required

  • Master's degree in Electronics, Computer Science, Electrical Engineering, or related technical discipline
  • 8+ years of relevant industry experience in machine learning and software engineering
  • Proven ownership mindset and accountability for product/feature deliverables
  • Strong conceptual understanding of image/video processing, computer vision, and deep learning techniques
  • Knowledge of ML/DL algorithms optimized for edge execution (efficient architectures, model quantization, pruning)
  • Strong programming skills in Python
  • Strong programming skills in C++
  • Hands-on familiarity with PyTorch and standard data science libraries
  • Willingness to work hybrid model, 3 days per week from Łodź office
  • Formal experience as a Product Owner, Feature Owner, or System Architect in Automotive or IoT
  • Master's by Research or PhD in Computer Vision, Machine Learning, or related field; publications/patents
  • Experience in automotive AI projects, edge validation, and safety-critical standards
  • Understanding of computer architecture, embedded systems, and hardware accelerators (GPUs, NPUs, SoCs)
  • Hands-on experience deploying/optimizing DNNs on edge platforms (Qualcomm, NVIDIA, Samsung, or similar)

Harman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harman and has not been reviewed or approved by Harman.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, often including medical, dental, and vision plans, with HSAs/FSAs and disability or life insurance also referenced. Wellbeing support such as EAP access and onsite occupational health services is also part of the package in some regions.
  • Wellbeing & Lifestyle Benefits — Lifestyle-oriented benefits include employee product discounts and region-specific perks like free fruit deliveries, Cycle to Work schemes, and meal coupons or allowances. Flexible schedules and work-from-home options are also part of the overall offering where roles and projects allow.
  • Fair & Transparent Compensation — Pay is repeatedly characterized as solid or market-aligned for many roles, with salary payments described as consistent and on time. Compensation is also tied to performance in some accounts, reinforcing a perception of basic fairness for a portion of employees.

Harman Insights

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The Company
HQ: Stamford, CT
22,291 Employees
Year Founded: 1980

What We Do

Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!

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