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A Career at HARMAN TECH Services (HTS)
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HTS, you solve challenges by creating innovative solutions.
About the Role
As a machine learning engineer of our team you will contribute to development and buildout of components of our customer’s advertising platform which brings sponsored content to millions of media-enabled devices worldwide and will have access to unique proprietary data to address existing product challenges and build end-to-end solutions with real-world impact. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.
In conclusion, you will play a crucial role in designing, building, and optimizing ML models and platform that supports the end-to-end ML lifecycle, from data ingestion and preparation to model training, deployment, and monitoring. By contributing to the development of high-quality ML models and platform, you will help to democratize access to ML capabilities, accelerate the pace of ML adoption, and foster collaboration among stakeholders.
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 tech services, 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 tech services 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!
What You Need to Be Successful
Bonus Points if You Have
A Career at HARMAN TECH Services (HTS)
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HTS, you solve challenges by creating innovative solutions.
About the Role
As a machine learning engineer of our team you will contribute to development and buildout of components of our customer’s advertising platform which brings sponsored content to millions of media-enabled devices worldwide and will have access to unique proprietary data to address existing product challenges and build end-to-end solutions with real-world impact. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.
In conclusion, you will play a crucial role in designing, building, and optimizing ML models and platform that supports the end-to-end ML lifecycle, from data ingestion and preparation to model training, deployment, and monitoring. By contributing to the development of high-quality ML models and platform, you will help to democratize access to ML capabilities, accelerate the pace of ML adoption, and foster collaboration among stakeholders.
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 tech services, 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 tech services 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!
,[ Develop, test, deploy, and maintain data, scalable low-latency machine learning products and pipelines supporting ML products considering factors such as the nature of the data, the complexity of the problem, and the available computational resources. , Validate the models performance on unseen data, ensuring that it generalizes well and does not overfit the training data. Conduct rigorous testing to identify and address potential issues, such as bias or fairness concerns. , Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and thousands of billions of daily batch predictions. , Research the latest machine learning platform technologies pushing the boundaries of what is currently possible with ML and keep up-to-date with industry trends and developments. , Experiment with new ML platforms tailored to our environment and create quick prototypes / proof-of-concepts. , Streamline model deployment, unit testing, integration testing, and stress testing and ensure engineering quality. , Support automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility, and agility. , Work with Data Scientists to introduce new ML platform features, help streamline the model development process, and reduce the lead time for model production. , Closely work with different internal ML teams (e.g., Data Scientists and MLOps teams) to improve codebase and product health. , Depending of your skills and experience you will have a chance to technically lead people. Requirements: Machine learning, Testing, MLOps, Python, SQL, Snowflake, Data analysis, Machine Learning, Big data, TensorFlow, PyTorch, PySpark, Data structures, CI/CD Pipelines, Git, AWS, Airflow, Redis, ETL, Big Data, Docker, Kubernetes, GitHub Additionally: Remote work, Flexible working hours, Competitive compensation, Discounts, Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Employee referral bonus, Employee discounts on HARMAN products (JBL), Free coffee, Bike parking, Playroom, Free snacks, Free beverages, Modern office, In-house trainings, Startup atmosphere, No dress code.