Company
Encipher AI has partnered with a well-funded AI startup based in San Francisco, focused on revolutionizing finance with cutting-edge machine learning and artificial intelligence solutions. This company is scaling rapidly and is looking for a talented Machine Learning Engineer to join the dynamic team.
Role
In this role, you will help design, build, and deploy state-of-the-art machine learning models and algorithms. You will work closely with data scientists, software engineers, and product managers to turn data into valuable insights and intelligent features. Your contributions will have a significant impact on the core product and help shape the future of AI-powered solutions in our industry.
Technical Skills
- Bachelor's or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- 2+ years of hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) and libraries.
- Proficiency in programming languages such as Python, R, or Julia, with strong knowledge of data manipulation libraries (e.g., Pandas, NumPy).
- Experience in deploying machine learning models into production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop).
- Familiarity with model monitoring, versioning, and MLOps practices.
Benefits
- Competitive salary and equity options.
- Comprehensive health, dental, and vision insurance.
- Flexible working hours and generous PTO.
- Opportunities for professional development and career growth.
- A collaborative, inclusive, and supportive team culture.
- State-of-the-art office in the heart of San Francisco.
Please email Charlie Murdoch for more information on the company and position - charlie@encipher.ai
