We are hiring: Deep Learning Engineer – 05-August-2026 US Remote

Hiring Organization: DeepCore AI

Client ID: 742QMTR

Job ID: 839LKPV

Role Overview

DeepCore AI is seeking a pioneering, highly analytical, and technically brilliant Deep Learning Engineer to join our remote-first engineering team. In this full-time role, you will be responsible for designing, training, and deploying advanced deep learning models that solve complex, large-scale problems. We value deep understanding of neural network architectures, data science, and scalable AI infrastructure. Whether you are an experienced deep learning engineer or a talented fresher looking for a supportive environment to launch your career, we offer a research-heavy, mentorship-rich culture where your contributions will directly impact our most critical AI-driven product capabilities.

Key Responsibilities

• Design, train, and validate sophisticated neural network architectures for diverse applications.
• Develop and maintain highly scalable data pipelines for massive model training sets.
• Optimize model performance for production deployment, focusing on latency, throughput, and resource utilization.
• Collaborate with product and engineering teams to integrate AI models into robust end-user applications.
• Perform cutting-edge research in fields such as natural language processing (NLP), computer vision, or generative modeling.
• Debug and resolve complex technical issues in training processes, model instability, and performance bottlenecks.
• Participate in peer code reviews and architectural planning to maintain rigorous engineering standards.
• Contribute to the continuous improvement of internal MLOps workflows, automated training frameworks, and testing suites.
• Research and implement new deep learning techniques to stay at the absolute forefront of the field.
• Document model design, technical specifications, and research findings for knowledge dissemination.

Required Qualifications

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
• Strong proficiency in Python and deep knowledge of modern frameworks (PyTorch, TensorFlow, JAX).
• Solid understanding of linear algebra, optimization, probability, and statistics.
• Experience with advanced deep learning architectures, such as Transformers, CNNs, or Diffusion Models.
• Familiarity with version control systems like Git.
• Excellent communication skills and the ability to work effectively in a remote, distributed team.
• A proactive, problem-solving mindset and a passion for building AI that transforms industries.
• Freshers with strong academic foundations in deep learning or exceptional project portfolios are encouraged to apply; we provide extensive mentorship.
• Reliable high-speed internet connection for consistent, professional virtual collaboration.

Preferred Skills

• Experience with large-scale distributed training (Horovod, DeepSpeed).
• Knowledge of large language models (LLMs) and fine-tuning techniques (LoRA, QLoRA).
• Experience with cloud platforms (AWS SageMaker, GCP Vertex AI).
• Familiarity with model deployment and optimization (Triton, ONNX, TensorRT).
• Experience with database management, big data tools, and efficient data processing workflows.

What We Offer

• Competitive Annual Salary: $284,650.
• 100% remote flexibility from any location in the United States.
• Comprehensive health, dental, and vision insurance packages.
• Retirement savings plan with company matching contributions.
• Generous Paid Time Off (PTO), including holidays and personal wellness days.
• Structured career development, mentorship, and support for professional certifications.
• A highly collaborative, inclusive, and mission-driven engineering culture focused on innovative research.

Employment Details

Workplace Type: Remote

Location: United States (US)

Job Type: Full-Time

Employment Type: FULL_TIME

Employer Address: 900 DeepWay, Suite 300, San Francisco, CA 94105

Freshers Can Apply: Yes

Standard Application Notice

DeepCore AI is an equal opportunity employer. We value diversity and are committed to creating an inclusive culture for all employees. All hiring decisions are based on merit, qualifications, and the business needs of the organization. Please submit your application using the form below.