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Machine Learning Engineer

  • Kraków, małopolskie
  • Ul.Czerwone Maki 82 30-392 Krakow, Poland pokaż mapę
  • Specjalista
  • 2019-07-25

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Company Overview

    At Motorola Solutions, we create technologies our customers refer to as their lifeline.  Our technology platforms in communications, software, video and services help our customers work safely and more efficiently.  Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe.  Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.

    Department Description

    28Labs is the Chief Technology Office and innovation engine for Motorola Solutions. We are user-focused and outcome-driven, identifying problems and creating solutions based on research and engagement with our customers. Considering our customers' unique "jobs to be done" is a foundational principle of 28Labs. Based on their needs, we create solutions by applying our experience in user experience and design, advanced wireless communications and solutions, cloud & mobile application architecture, cybersecurity, user & human factors research, imaging, analytics, and artificial intelligence (AI).Software and hardware technology and platform solutions developed by 28Labs form the basis of many products and solutions offered by Motorola Solutions. We also manage the Motorola Solutions Venture Capital investments and intellectual property across the company.This candidate will work as part of the Data Science & AI Team in 28Labs (CTO).

    Machine Learning Engineer

    Job Description

    The candidate will join a team of data scientists and engineers in 28Labs at Motorola Solutions. You will collaborate with a multi-disciplinary team of scientists, engineers and product stakeholders on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring quality, improving our products, and understanding the behavior of end-users to help them succeed in moments that matter. We look for the most advanced problems solvers - like you - to help us create technologies that rise to the challenges of our customers.

    You Will:

    • Work closely with product and business teams to identify important questions and answer them with data
    • Design core metrics that serve as the North Stars for team efforts and model trade-offs across product areas
    • Apply statistics, modeling, and ML to improve the efficiency of systems and relevance algorithms across our suite of solutions for public safety and commercial customers
    • Develop, and improve algorithms that help our systems make recommendations based on predictive models under given constraints while optimizing key performance indicators
    • ​Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions

    The candidate will be a part of our Data Science & AI team in 28Labs at Motorola solutions in the role of a hands-on data scientist or data engineer responsible for the entire end to end process of data exploration, development, implementation, and maintenance of business-changing models and algorithms. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the public safety workflow impacting people's lives in moments that matter.

    Basic Requirements

    • Experience working with and analyzing large data sets to solve problems
    • At least Bachelor's Degree in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering, CS)
    • Expert knowledge of a scientific computing language (Preferably Python or R) and SQL
    • Strong knowledge of statistics and experimental design
    • Strong written and oral communication skills

    Nice-to-have skills:

    • Prior experience with data-distributed tools (Spark, Hadoop etc)
    • Experience with machine learning on large datasets (deep learning and experience with Tensorflow, Keras etc. would be a plus)
    • Experience with a variety of NLP methods for information extraction, topic modeling, parsing, and relationship extraction would be a plus
    • Experience with Tableau or similar visual analysis tool, developing visually compelling interactive dashboards
    • Activity in the Open Source community is a strong plus

    In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way. Also, to reward your hard work you’ll get:

    • Competitive salary package,
    • Private medical & dental coverage,
    • Life insurance,
    • Employee Stock Purchase Plan,
    • Flexible working hours,
    • A strong collaborative culture,
    • Comfortable work conditions (high-class offices, parking space),
    • Volleyball field and grill place next to the office,
    • Access to wellness facilities and integration events as well as training and broad development opportunities.