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Full-Time

Senior ML Engineer

Posted on 6/27/2024

Instawork

Instawork

1,001-5,000 employees

Flexible staffing platform for hourly workers

Robotics & Automation
Consulting
Consumer Software
Enterprise Software

Compensation Overview

$165k - $200kAnnually

+ Equity + Flexible Paid Time Off + Various Stipends and Contributions

Senior

San Francisco, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
AWS
Requirements
  • 3-5 years of experience building machine learning models for business applications
  • Strong understanding of machine learning algorithms and techniques, including supervised learning, unsupervised learning, and reinforcement learning
  • Experience with Python and popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data engineering and cloud computing platforms, AWS a plus
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a team
Responsibilities
  • Design, develop, and implement machine learning algorithms to solve complex problems in real-time scheduling and workforce optimization
  • Implement models using AI frameworks/platforms including LangChain, OpenAI, Bard and more
  • Gather, clean, and prepare large datasets for machine-learning models
  • Build and maintain machine learning pipelines that are robust, scalable, and efficient
  • Collaborate with cross-functional teams to integrate machine learning solutions into production systems
  • Monitor and evaluate the performance of machine learning models and make continuous improvements

Instawork is a flexible staffing platform facilitating connections between businesses and hourly workers across a variety of sectors, ensuring high worker quality and efficient shift management with the use of advanced technology. This platform provides a dynamic environment where technological usage is paramount, offering workers and businesses alike innovative solutions for workforce management. It positions itself as a leader in integrating technology to streamline staffing needs, making it an attractive workplace for individuals interested in contributing to cutting-edge workforce solutions.

Company Stage

Series D

Total Funding

$151.1M

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

7%

1 year growth

16%

2 year growth

92%
INACTIVE