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

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4screen

6d ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
    IT & Cybersecurity
  • Munich

AI generated summary

  • You have 7-10+ years in ML, a STEM master's, expertise in Python and ML frameworks, strong stats knowledge, and good communication skills. Willingness to visit Munich a few times a year is needed.
  • You will develop machine learning models, analyze datasets for insights, collaborate on data-driven solutions, optimize models through experiments, deploy models in production, and promote a data-driven culture.

Requirements

  • 7-10+ 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 role of a Senior Machine Learning Engineer at 4screen?

The Senior Machine Learning Engineer will analyze existing data, develop new machine learning models, and integrate them into production environments, with a focus on strengthening data-driven decision-making processes and advancing the company's AI strategy.

What qualifications are required for this position?

Candidates should have 7-10+ years of experience in Data Science or Machine Learning, a Master's degree in a STEM field, and practical experience in building and implementing complex machine learning models. Fluency in English and a willingness to visit the Munich office a few times a year are also required.

What programming languages and frameworks should applicants be proficient in?

Applicants should have strong knowledge of Python and common machine learning frameworks like TensorFlow or PyTorch.

Is experience in specific machine learning techniques necessary?

While not mandatory, experience with reinforcement or deep learning is considered a plus for candidates.

What kind of datasets will the Senior Machine Learning Engineer be working with?

The engineer will analyze large datasets to identify patterns and trends, leveraging advanced analytical techniques to inform strategic decision-making.

Are there opportunities for professional development within the role?

Yes, the company promotes a culture of growth and innovation, allowing engineers to bring in their own ideas and collaborate across teams.

What benefits does 4screen provide to its employees?

Benefits include 30 days of annual leave, a Workation benefit, an Egym Wellpass membership for well-being, bike leasing through BusinessBike, flexible working hours, modern tech equipment, and team events for building camaraderie.

How does 4screen ensure a diverse and inclusive work environment?

4screen encourages an open and inclusive work culture, valuing diversity and individual strengths as essential contributions to the company's success.

What kind of projects can the Senior Machine Learning Engineer expect to work on?

The engineer will work on developing machine learning models to enhance business operations, conducting experiments for model optimization, and creating data-driven solutions for complex business challenges.

Is team collaboration important for this role?

Yes, the Senior Machine Learning Engineer is expected to collaborate closely with cross-functional teams to develop innovative, data-driven solutions.

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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.