Research Engineer at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

250000.0

Posted On

07 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PyTorch, TensorFlow, Python, C, C++, Computer Vision, Unsupervised Learning, Deep Learning, Machine Learning Engineering, Perception Systems, Autonomous Systems, Model Deployment, Algorithm Development, Analytical Thinking, Cross-functional Collaboration, Research Tooling

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer based in the United States. This role sits at the intersection of applied research and production-grade machine learning engineering, focused on building and improving advanced AI systems in perception and unsupervised learning. You will work on rapidly iterating experimental ideas into deployable models that can operate at scale in real-world environments. The position involves close collaboration with software and autonomous systems engineers to translate research breakthroughs into usable product capabilities. You will contribute directly to improving model performance, robustness, and edge-case handling across complex AI pipelines. The environment is fast-moving, highly experimental, and deeply technical, with an emphasis on rapid iteration and practical outcomes. It is an opportunity to work on challenging computer vision and deep learning problems with direct impact on autonomous systems. \n Accountabilities: Develop and extend proprietary machine learning and unsupervised learning algorithms, focusing on perception systems that scale to complex real-world datasets and edge cases. Design, run, and maintain deep learning experiments, ensuring reproducibility, robustness, and continuous improvement of model performance across iterative research cycles. Collaborate closely with software engineers and autonomous vehicle teams to integrate and deploy models into internal systems and customer-facing platforms. Build and maintain research tooling and infrastructure that supports rapid experimentation, evaluation, and validation of new AI approaches. Analyze model behavior, identify failure modes, and refine architectures to improve accuracy, stability, and generalization in production environments. Contribute to translating research prototypes into deployable systems that meet performance and scalability requirements. Requirements: Master’s or PhD in Computer Science, Machine Learning, Robotics, or a related field, or 5+ years of equivalent industry experience in applied AI or ML research. Strong hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, applied to real-world machine learning problems. Proficiency in Python, with working knowledge of C or C++ for performance-critical or systems-level development. Solid understanding of computer vision, unsupervised learning, or related AI domains, with a strong interest in perception systems and autonomous technologies. Demonstrated ability to run experiments in fast-paced environments, iterate quickly, and translate research ideas into working implementations. Strong analytical thinking, attention to detail, and ability to troubleshoot complex model behavior and system-level interactions. Excellent collaboration and communication skills, with experience working in cross-functional engineering and research teams. Benefits: Competitive base salary ranging approximately from $150,000 to $250,000, with potential additional compensation through equity and/or bonus depending on experience and location. Comprehensive health insurance coverage. 401(k) retirement savings plan. Free lunch and a fully stocked office kitchen (for in-office collaboration where applicable). Monthly wellness stipend and home office setup allowance. Company retreats and additional perks as the organization scales. Opportunity to work on cutting-edge AI problems with high real-world impact in autonomous systems and perception technologies. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Develop and extend proprietary machine learning and unsupervised learning algorithms for perception systems in autonomous vehicles. Translate research prototypes into deployable, production-grade models while maintaining research infrastructure for rapid experimentation.