Machine Learning Engineer

Netrolynx AI; United States; Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Jobrapido is seeking a highly skilled Senior AI/ML Research Engineer to join our innovative team. You will design and optimize large-scale AI inference systems, build synthetic data generation pipelines, and develop distributed training infrastructures to support next‑generation models.

As a hands-on researcher and engineer, you will push performance, scalability, and cost-efficiency across multi-node GPUs, collaborate with research and engineering teams, and publish results at ICML/NeurIPS.

Formación

• Strong AI/ML engineering background with production-scale systems.
• Experience with distributed inference and model optimization.
• F Familiarity with inference frameworks such as vLLM or SGLang.
• Experience with GPU compute architectures and memory optimization.
• Open-source contributions and conference publications are a plus.

Responsabilidades

• Design and develop large-scale synthetic data generation pipelines and orchestration systems to support AI model training and inference.
• Optimize AI inference workloads by enhancing performance, reducing costs, and improving memory and compute efficiency.
• Build and refine distributed inference infrastructure across multiple nodes and GPUs.
• Contribute to open-source libraries and frameworks focused on synthetic data generation and distributed RL.
• Research novel approaches to model inference, training, and post-training processes for AI capabilities.
• Collaborate with research and engineering teams to translate concepts into scalable solutions.
• Publish research findings at ICML and NeurIPS, contributing to the AI community.
• Stay informed about developments in AI infrastructure and model optimization techniques.

Conocimientos

AI/ML engineering

Distributed systems

Model optimization

ML pipelines

vLLM

SGLang

GPU architectures

Memory optimization

Reinforcement learning

Open-source

ICML/NeurIPS publications

Herramientas

vLLM

SGLang

Descripción del empleo

About The Company

Jobrapido is a leading global job search engine dedicated to connecting talented professionals with the right opportunities. With a commitment to innovation and excellence, Jobrapido leverages advanced technology and data-driven solutions to enhance the recruitment experience for both employers and job seekers. Our platform aggregates millions of job listings from across the web, providing users with comprehensive and up-to-date employment options. We foster a dynamic, collaborative environment that encourages continuous learning and technological advancement, positioning ourselves at the forefront of the HR and recruitment industry.

About The Company

Jobrapido is a leading global job search engine dedicated to connecting talented professionals with the right opportunities. With a commitment to innovation and excellence, Jobrapido leverages advanced technology and data-driven solutions to enhance the recruitment experience for both employers and job seekers. Our platform aggregates millions of job listings from across the web, providing users with comprehensive and up-to-date employment options. We foster a dynamic, collaborative environment that encourages continuous learning and technological advancement, positioning ourselves at the forefront of the HR and recruitment industry.

About The Role

We are seeking a highly skilled Senior AI/ML Research Engineer to join our innovative team. This role focuses on developing and optimizing large-scale AI inference systems, synthetic data generation pipelines, and distributed training infrastructures. As a hands-on researcher and engineer, you will play a vital role in building scalable AI infrastructure that supports cutting-edge models and solutions. Your work will directly impact the efficiency, performance, and capabilities of our AI systems, enabling Jobrapido to deliver more accurate, faster, and cost-effective services to our users worldwide. This position offers an exciting opportunity to work on complex problems involving inference performance, distributed systems, reinforcement learning, and synthetic data, all within a collaborative and growth-oriented environment.

Qualifications

The ideal candidate will possess a strong background in AI and machine learning engineering, with proven experience in building production-level systems for large-scale model inference or training. A deep understanding of distributed inference, model optimization, and end-to-end AI/ML pipeline development is essential. Hands-on experience with inference frameworks such as vLLM or SGLang is highly desirable. Candidates should have a solid grasp of GPU compute architectures, memory optimization techniques, and resource utilization strategies. Familiarity with reinforcement learning, synthetic data generation, and large-scale ML systems will be considered advantageous. A track record of contributing to open-source projects and publishing research at major conferences like ICML or NeurIPS is a plus.

Responsibilities

• Design and develop large-scale synthetic data generation pipelines and orchestration systems to support AI model training and inference.
• Optimize AI inference workloads by enhancing performance, reducing costs, and improving memory and compute efficiency.
• Build and refine distributed inference infrastructure capable of handling large-scale AI models seamlessly across multiple nodes and GPUs.
• Contribute to open-source libraries and frameworks focused on synthetic data generation, distributed reinforcement learning, and model inference.
• Research innovative approaches to model inference, training, and post-training processes to advance our AI capabilities.
• Collaborate closely with research teams and engineering groups to translate complex concepts into practical, scalable solutions.
• Publish research findings at reputable conferences such as ICML and NeurIPS, contributing to the broader AI community.
• Stay informed about the latest developments in AI infrastructure, distributed inference, synthetic data, and model optimization techniques.

Benefits

Jobrapido offers a comprehensive benefits package designed to support your professional growth and personal well-being. This includes competitive salary packages, health insurance plans, and opportunities for continuous learning and development. Our flexible work environment promotes work-life balance, encouraging innovation and collaboration. Additionally, we provide access to cutting-edge tools and technologies, fostering an inspiring atmosphere where you can make a meaningful impact on the future of AI and recruitment technology. Join us to work on challenging problems in a dynamic team committed to excellence and innovation.

Equal Opportunity

Jobrapido is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse perspectives and experiences drive innovation and excellence, and we are dedicated to fostering a workplace where everyone can thrive and contribute to our shared success.