Senior Engineering Manager/ Machine Learning

Mind Fast Find

Town of Willow (WI)

Hybrid

USD 130,000 - 160,000

Full time

14 days+

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Job summary

Mind Fast Find seeks a Senior Engineering Manager with a focus on Machine Learning to build and lead a talented team.

In this full-time role, you'll manage engineers and oversee the development of innovative data tools and infrastructure. Ideal candidates will have over 5 years of experience as both a Software Engineer and Engineering Manager, with a proven track record of mentoring and guiding teams in complex environments.

Qualifications

  • 5+ years of experience as a Software Engineer.
  • 5+ years of experience managing a team of Software Engineers.
  • Experience with ML libraries/frameworks like TensorFlow, PyTorch, or Keras.

Responsibilities

  • Build and operate tools for labeling data and serving models.
  • Lead a team of engaged engineers by hiring and coaching.
  • Manage processes to achieve extraordinary results in the team.

Skills

Software Engineering
Engineering Management
Machine Learning
Team Leadership
Distributed Systems

Tools

TensorFlow
PyTorch
AWS
Google Cloud Platform
Spark
Kafka

Job description

Senior Engineering Manager/ Machine Learning

Full-time

We are a Big Data recruiting agency. We help the best data professionals find great careers.

Required skills and experience
  • You have 5+ years of experience as a Software Engineer.
  • You have 5+ years of experience as an Engineering Manager and successfully managed a team of 5+ Software Engineers and Technical Leads or Managers.
  • You're a mentor, storyteller, and you're great at coordinating with a variety of teams throughout the company.
  • You excel in undefined environments and get excited about finding solutions to complex technical challenges, and then building them.
  • You enjoy coming up with pragmatic solutions to concrete problems using first principles thinking.
  • You've worked with complex distributed machine learning systems deployed at scale.
  • You keep up with the industry trends and continuously identify new tools to use to solve technical problems.
What you need to know
  • Build and operate the tools we use as well as the infrastructure to label data, create features, train, evaluate and serve both online and offline models.
  • Build and lead a team of highly‑engaged engineers by hiring, coaching, and instilling a sense of ownership and impact.
  • Build the vision and roadmap for the Machine Learning team by working with your team and partners across the company.
  • Manage processes and use your technical expertise to continually ensure that your team achieves extraordinary results.
  • Work with other Engineering Managers to continuously improve the Engineering organization and uphold our workplace philosophy.
Additional job details
  • Experience with ML libraries/frameworks like TensorFlow, PyTorch, Keras or XGBoost
  • Experience with modern cloud platforms like Google Cloud Platform or Amazon Web Services
  • Experience working with modern data technologies (Spark, Hive, Kafka, Beam, or Airflow)
  • Experience hiring for fast-growing startups

All your information will be kept confidential according to EEO guidelines.

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