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Sr. Machine Learning Engineer (f/m/x)

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4screen

1mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Munich

AI generated summary

  • You should have 5+ years in ML, a Master's in STEM, experience with ML models (deep/reinforcement learning a plus), strong Python skills, statistical expertise, and good English communication.
  • You will design and implement machine learning models, analyze large datasets, collaborate on data-driven solutions, conduct experiments, deploy models, and promote a data-driven culture.

Requirements

  • 5+ years of experience in Data Science, Machine Learning or a similar position.
  • Master's degree in a STEM field, or equivalent. A background in mathematical modeling or stochastic processes would be a Plus.
  • Senior-level practical experience in building and implementing complex machine learning models; experience with reinforcement or deep learning would be a Plus.
  • Strong knowledge of Python and common ML frameworks like TensorFlow or PyTorch.
  • Expertise in statistical methods and algorithms for data analysis.
  • Good communication skills to convey technical concepts clearly.
  • Fluency in English.
  • You are willing to visit our Munich office a few times a year for workshops or events - and are of course always welcome between these.

Responsibilities

  • You contribute to our success by:
  • Developing and implementing machine learning models: You design and execute machine learning models tailored to enhance various business operations, ensuring they align with company objectives and drive efficiency.
  • Analyzing large datasets to identify patterns and trends: You will utilize advanced analytical techniques to sift through extensive datasets, uncovering insights that inform strategic decision-making and identify opportunities for improvement.
  • Collaborating to develop data-driven solutions: You will work closely with cross-functional teams to create innovative, data-driven solutions that address complex business challenges.
  • Conducting experiments to optimize models: You design and execute experiments to refine machine learning models, systematically testing hypotheses to enhance accuracy and performance.
  • Applying statistical analyses and algorithms: You will validate the results of your analyses by employing a range of statistical methods and algorithms.
  • Deploying models in production environments: You are responsible for deployment of machine learning models into production, prioritizing scalability and operational efficiency to ensure they function seamlessly within existing systems.
  • Promoting a data-driven culture within the company: You will advocate for and foster a culture that prioritizes data-driven decision-making, providing training and resources to empower colleagues to leverage data effectively in their roles.

FAQs

What is the primary role of the Sr. Machine Learning Engineer at 4screen?

The primary role involves analyzing existing data, developing new machine learning models, and integrating them into production environments to strengthen data-driven decision-making processes and advance the AI strategy.

How many years of experience are required for this position?

A minimum of 5 years of experience in Data Science, Machine Learning, or a similar position is required.

Is there a specific educational background required for this role?

Yes, a Master's degree in a STEM field or equivalent is required, with a background in mathematical modeling or stochastic processes considered a plus.

What programming languages and frameworks should candidates be proficient in?

Candidates should have strong knowledge of Python and common machine learning frameworks such as TensorFlow or PyTorch.

Will I have the opportunity to collaborate with other teams?

Yes, the role involves working closely with cross-functional teams to develop innovative, data-driven solutions.

How does 4screen promote a data-driven culture within the company?

Employees are encouraged to advocate for data-driven decision-making and provide training and resources to empower colleagues to leverage data effectively in their roles.

Are there any benefits provided to employees?

Yes, the company offers several benefits including flexible working hours, 30 days of annual leave, a Workation benefit, Egym Wellpass membership for wellness, bike leasing, and team events.

Will I need to work from the Munich office?

Yes, there is an expectation to visit the Munich office a few times a year for workshops or events, although remote work options are available.

Is experience with specific types of machine learning models required?

Senior-level practical experience in building and implementing complex machine learning models is required, with experience in reinforcement or deep learning considered a plus.

Does 4screen value diversity and inclusion in the workplace?

Yes, 4screen stands for equal opportunity for everyone and values diversity, encouraging an open and inclusive work environment.

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4screen

We connect drivers with the world and the world with drivers, in real time.

Technology
Industry
51-200
Employees
2017
Founded Year

Mission & Purpose

4Screen provides innovative driver interaction platforms that integrate advanced digital technology into vehicles. Their mission is to enhance the driving experience by offering interactive solutions that improve navigation, communication, and infotainment. The company's purpose is to create a safer, more engaging, and user-friendly in-vehicle environment, leveraging technology to support better driving experiences and connectivity.