Job Description
Are you ready to architect the intelligent systems of tomorrow? Apex Innovations is seeking a visionary Senior AI Engineer to lead our 2026 roadmap initiatives. We are building the next generation of generative AI and predictive analytics platforms that will redefine industry standards.
In this pivotal role, you will not just write code; you will define the future of our AI infrastructure. You will collaborate with world-class researchers and product leaders to deploy scalable machine learning models that power our core products. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and Computer Vision, we want to hear from you.
Why Join Us?
• Competitive compensation package.
• Equity stake in a high-growth unicorn.
• Work with cutting-edge technology stack.
• Flexible remote-first culture with a premium SF office.
Responsibilities
- Model Architecture: Design, train, and optimize state-of-the-art deep learning models, including transformers and generative architectures, specifically aligned with our 2026 product roadmap.
- System Optimization: Implement MLOps pipelines to ensure efficient training, deployment, and monitoring of models at scale in production environments.
- Research & Development: Conduct cutting-edge research to improve model accuracy, reduce inference latency, and enhance domain-specific performance.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence within the engineering squad.
- Collaboration: Work closely with Product Managers and Data Scientists to translate business requirements into robust technical solutions.
- Code Quality: Enforce best practices for code reviews, testing, and documentation to ensure maintainability and scalability.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field from a top-tier university.
- Experience: 5+ years of professional experience in software engineering and machine learning.
- Technical Skills: Proficiency in Python (PyTorch, TensorFlow) and experience with cloud platforms (AWS, GCP, or Azure).
- Specialization: Deep expertise in Natural Language Processing (NLP) or Computer Vision is highly desirable.
- Problem Solving: Strong analytical skills with a track record of solving complex, unstructured problems.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.