About Mercor
Connecting Indian engineers with US startup opportunities
Key Highlights
- Headquartered in Weston, Connecticut, USA
- Team size of 201-500 employees
- Focus on connecting Indian engineers with US startups
- Flexible remote work policies for employees
Mercor is a tech talent platform based in Weston, Connecticut, that connects skilled Indian software engineers with innovative US startups. By leveraging a vast network of tech professionals, Mercor facilitates the hiring process for companies looking to enhance their development capabilities. With ...
🎁 Benefits
Mercor offers competitive salaries, equity options, flexible remote work arrangements, and generous PTO policies to support work-life balance....
🌟 Culture
Mercor fosters a culture of collaboration and innovation, focusing on creating meaningful connections between engineers and startups while prioritizin...
Machine Learning Engineer • Mid-Level
Skills & Technologies
Overview
Mercor is hiring a Machine Learning Engineer to work at the intersection of backend engineering and applied machine learning. You'll build production systems that power performance prediction, search, recommendation, and fraud detection. This role requires expertise in Python and machine learning techniques.
Job Description
Who you are
You have a strong background in machine learning and backend engineering, with experience in building production systems that deliver real-world impact. Your expertise in Python allows you to develop and deploy machine learning models effectively, ensuring they meet performance and reliability standards. You understand the importance of statistical modeling and can apply rigorous methodologies to enhance model accuracy and performance. You thrive in collaborative environments, working closely with product engineers and operations to create systems that improve how companies source talent and how candidates find opportunities.
You are a generalist at heart, comfortable navigating both the infrastructure and research aspects of machine learning. You have a passion for AI and are excited about the potential of frontier models to transform industries. Your ability to communicate complex concepts clearly makes you an effective collaborator, and you enjoy sharing knowledge with your team. You are committed to continuous learning and growth, always seeking to expand your skill set and stay ahead of industry trends.
What you'll do
As a Machine Learning Engineer at Mercor, you will research, train, and productionize machine learning models that drive key product outcomes. Your work will involve building APIs and infrastructure that support various applications, including performance prediction, search, recommendation, and fraud detection. You will collaborate with cross-functional teams to ensure that the systems you develop are aligned with business goals and user needs. You will also have the opportunity to work on research-adjacent projects, contributing to the advancement of AI capabilities within the organization.
You will take ownership of your projects, from initial concept through to deployment, ensuring that the solutions you create are scalable and maintainable. Your role will require you to stay updated on the latest developments in machine learning and AI, applying new techniques and technologies to enhance the effectiveness of your work. You will be part of a fast-paced team that values innovation and creativity, and you will play a key role in shaping the future of AI at Mercor.
What we offer
Mercor provides a competitive compensation package, including a generous equity grant vested over four years. If you are relocating to the Bay Area, you will receive a $20K relocation bonus, and if you live within 0.5 miles of our office, you will benefit from a $10K housing bonus. Additionally, we offer a $1K monthly stipend for meals and a free Equinox membership to support your well-being. Our health insurance plans are comprehensive, ensuring you and your family are well taken care of. Join us at Mercor and be part of a team that is redefining the intersection of labor markets and AI research.
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