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Home›Jobs›Shiftsmart›Senior / Staff Machine Learning Engineer
Shiftsmart

About Shiftsmart

Empowering blue collar workers through flexible gigs

🏢 Tech👥 1001+ employees📅 Founded 2015📍 World Trade Center, New York, NY⭐ 3.4
B2CB2BEnterpriseMarketplace

Key Highlights

  • 1.2 million+ workers connected to temporary gigs
  • Revenue increased by nearly 400% in recent years
  • Operates in over 57 countries globally
  • Serves major clients including Google, HP, and Apple

Shiftsmart is transforming the gig economy with its innovative platform designed for blue collar workers. Headquartered in the World Trade Center, New York, Shiftsmart connects over 1.2 million workers to temporary gigs for major enterprises like Google, HP, Apple, and Levi's. With a revenue growth ...

🎁 Benefits

Shiftsmart offers comprehensive benefits including healthcare, dental, vision, and a 401(k) plan to support employee well-being and financial security...

🌟 Culture

Shiftsmart promotes a worker-centric culture, empowering both employees and employers with flexible work arrangements. Their unique business model ada...

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Shiftsmart

Senior / Staff Machine Learning Engineer

Shiftsmart • Remote (US & Canada)

Posted 10h ago🏠 RemoteSeniorLeadMachine learning engineer📍 United states📍 Canada
Apply Now →

Skills & Technologies

PythonTensorFlowPyTorchAWSSQL

Overview

Shiftsmart is seeking a Senior / Staff Machine Learning Engineer to build scalable labor solutions using advanced machine learning techniques. You'll work with Python, TensorFlow, and AWS to develop innovative tools for workforce management. This role requires significant experience in machine learning and cloud technologies.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models at scale. Your expertise in Python is complemented by hands-on experience with frameworks like TensorFlow and PyTorch, allowing you to build robust solutions that drive business impact. You are comfortable working with cloud platforms, particularly AWS, and understand how to leverage cloud services for machine learning applications. Your analytical skills enable you to work with large datasets, and you are proficient in SQL for data manipulation and querying. You thrive in collaborative environments, engaging with cross-functional teams to translate business needs into technical solutions. You are passionate about continuous learning and are eager to stay updated with the latest advancements in machine learning and AI technologies.

Desirable

Experience with MLOps practices and tools is a plus, as is familiarity with data engineering concepts. You may also have experience in developing algorithms for optimization and predictive modeling, which will enhance your contributions to our projects.

What you'll do

As a Senior / Staff Machine Learning Engineer at Shiftsmart, you will play a pivotal role in shaping our machine learning strategy. You will design and implement machine learning models that enhance our labor platform, improving the efficiency and effectiveness of workforce management solutions. Your responsibilities will include building data pipelines, conducting experiments to validate model performance, and collaborating with data scientists to refine algorithms. You will also mentor junior engineers, sharing your knowledge and best practices to foster a culture of learning and innovation within the team. Your work will directly impact how we serve our clients and improve the experience for hourly workers across our platform.

What we offer

At Shiftsmart, we offer a unique opportunity to be part of a rapidly growing startup that is transforming the labor market. You will have the chance to work with a talented team of engineers and industry experts, contributing to meaningful projects that have a real-world impact. We provide competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us in our mission to create scalable labor solutions that empower workers and businesses alike.

Interested in this role?

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