Job Description
Are you ready to architect the future of intelligent systems? Apex Horizon Inc is seeking a visionary Senior AI & Machine Learning Engineer to lead our R&D initiatives towards the technological landscape of 2026.
In this pivotal role, you won't just implement existing models; you will pioneer next-generation algorithms designed for autonomous decision-making, ethical AI, and seamless human-machine collaboration. We are looking for a thought leader who is obsessed with scalability, accuracy, and the ethical implications of AI.
Why join us?
- Work on cutting-edge generative models and agentic workflows.
- Competitive equity and top-tier compensation.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Architect & Design: Lead the end-to-end design and implementation of scalable AI infrastructure capable of supporting enterprise-level demands.
- R&D Leadership: Drive research into emerging technologies, specifically focusing on Large Language Models (LLMs), Reinforcement Learning, and Predictive Analytics.
- Model Optimization: Fine-tune and optimize models for latency, throughput, and cost-efficiency.
- Strategic Vision: Define the technical roadmap for AI integration, ensuring alignment with business goals and future 2026 trends.
- Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-centric features.
- Mentorship: Foster a culture of innovation by mentoring junior data scientists and engineers.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- Experience: 8+ years of professional experience in Machine Learning, AI, or Data Science.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Deep understanding of Transformer architectures and NLP.
- Tools: Experience with MLOps platforms (e.g., Kubernetes, MLflow) and cloud services (AWS, GCP, Azure).
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Future-Proofing: Demonstrated ability to adapt to rapidly evolving technologies and anticipate industry shifts.