Job Description
The Future of Intelligence Starts Here.
At 2026, we are not just building software; we are architecting the next generation of cognitive systems. We are looking for a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco. If you are passionate about pushing the boundaries of artificial intelligence and want to leave a lasting impact on the industry, this is your stage.
In this role, you will lead the design and deployment of cutting-edge machine learning models that power our core products. You will work in a fast-paced, collaborative environment alongside world-class researchers and engineers. We value deep technical expertise, creativity, and a relentless drive for excellence.
Why Join 2026?
- Work on high-impact projects that define the future of technology.
- Competitive compensation package including equity and health benefits.
- Flexible work arrangements and a culture of innovation.
Key Responsibilities:
- Design, train, and deploy scalable machine learning models and algorithms using Python and modern frameworks.
- Collaborate with cross-functional teams to integrate AI solutions into production environments.
- Optimize existing models for speed, accuracy, and resource efficiency.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay at the forefront of industry trends and research to drive innovation within the team.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of taking models from research to production deployment.
- Excellent problem-solving skills and communication abilities.
Responsibilities
- Design, train, and deploy scalable machine learning models and algorithms using Python and modern frameworks.
- Collaborate with cross-functional teams to integrate AI solutions into production environments.
- Optimize existing models for speed, accuracy, and resource efficiency.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay at the forefront of industry trends and research to drive innovation within the team.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of taking models from research to production deployment.
- Excellent problem-solving skills and communication abilities.