Job Description
Are you ready to architect the intelligence of tomorrow? 2026 is a forward-thinking technology firm pioneering next-generation artificial intelligence solutions. We are seeking a visionary Senior Machine Learning Engineer to lead our research division in San Francisco.
In this pivotal role, you will define the architectural framework for our proprietary neural networks and oversee the deployment of scalable machine learning models. You will work at the intersection of theoretical research and practical engineering, pushing the boundaries of generative AI and predictive analytics.
Why Join 2026?
- Work on mission-critical projects that define industry standards.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with premium office amenities.
- Opportunity to shape the future of AI ethics and safety.
Responsibilities
- Design, develop, and optimize state-of-the-art deep learning architectures.
- Lead the end-to-end lifecycle of AI model deployment, from experimentation to production.
- Collaborate with cross-functional teams to integrate AI capabilities into core product suites.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Conduct rigorous code reviews and establish best practices for model explainability and ethics.
- Stay ahead of industry trends in NLP, Computer Vision, and Reinforcement Learning.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience building and deploying large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Proven track record of publishing in top-tier AI conferences or open-source contributions.
- Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.