Staff Machine Learning Engineer

Job not on LinkedIn

đź•’ October 2, 2025

🌏 Anywhere in the World

⏰ Full Time

đź”´ Lead

🤖 Machine Learning Engineer

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Logo of Hire Initiatives, Inc.

Hire Initiatives, Inc.

1 - 10 employees

Founded 2010

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Hire Initiatives, Inc. is a recruitment and staffing firm that connects employers with qualified candidates and offers hiring strategy services and career resources. The company's website emphasizes employer-focused hiring solutions, job search and application functionality, and support for successful hiring outcomes. Contact information, employer and career sections, and messaging like "Bringing talent & Opportunity together" indicate a focus on recruitment and workforce placement.

đź“‹ Description

• Design, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance our marketplace platform and GenAI managed solutions. • Lead experimentation processes, rigorously validating models through A/B testing, statistical analyses, and iterative improvements. • Collaborate closely with data scientists, software engineers, product managers, and client teams to define requirements, build solutions, and deliver impactful, high-quality products. • Continuously improve existing ML solutions, ensuring they are performant, efficient, and aligned with evolving business objectives. • Ensure adherence to best practices in code quality, data integrity, and infrastructure reliability, with a strong emphasis on scalability and maintainability. • Mentor junior engineers and contribute actively to team growth, knowledge sharing, and fostering an experimental, innovation-driven engineering culture. • Stay current with advancements in machine learning, AI methodologies, and marketplace technologies to propose innovative solutions proactively.

🎯 Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related technical field. • 10 Years of experience required • Proven experience implementing machine learning algorithms and solutions at scale in production environments. • Demonstrated experimental mindset, adept at hypothesis testing, experimentation design, and rigorous validation techniques. • Expert proficiency in Python and experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and related ML technologies. • Extensive experience building and deploying scalable ML pipelines and working within cloud infrastructure environments such as AWS, GCP, or Azure. • Strong understanding of data structures, algorithm design, and performance optimization techniques. • Exceptional problem-solving abilities, coupled with excellent collaboration and communication skills. • Track record of technical leadership, mentorship, and successful cross-functional collaboration in agile, dynamic environments.

🏖️ Benefits

• Fully Remote work culture - we hire globally and all of our roles are fully remote! • Bring your own device stipend - buy your own laptop with funds from us • Flexible working hours • Equity (as a part of the compensation package) • Healthcare, 401k / pension • Generous Paid Time Off, Parental Leave, Compassionate Leave

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