5 Crossing Hurdles Jobs
Python Developer - Flask/Django Frameworks (4-8 yrs)
Crossing Hurdles
posted 12hr ago
About Turing :
Based in Palo Alto, California, Turing is a leading AGI infrastructure company focused on LLM training for the world's leading frontier models and genAI implementation for Fortune 500 companies.
Founded in 2018-and led by the AI technology experts behind Silicon Valley's most successful companies-the company has experienced tremendous growth with over three million professionals in its talent network and 1,000+ clients. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies."
The company's leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more. The company has secured a total of $140 million in funding upon completion of its Series D round and is valued at $1.1 billion. Subsequent oversubscribed SAFEs were completed on a $4 billion valuation cap. For more information, visit turing.com.
We are actively seeking talented Senior Python Developers with leadership experience to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.
Technical skills required :
- Technical Expertise : 4-8 years of strong experience in Python, with a proven ability to write clean, efficient code and optimize quality through comprehensive code reviews.
- Code Review & Quality Control : Expertise in conducting code reviews to enhance performance and maintain high standards of data quality, with a focus on quality assurance practices.
- Tool Customization & Automation : Hands-on experience in customizing annotation tools and automating tasks to increase operational efficiency.
- Leadership & Mentorship : Demonstrated ability to lead small teams of at least 3-5 developers, guide them through technical challenges, and mentor junior members to support their professional growth.
- Conflict Resolution & Resource Management : Strong skills in resolving conflicts and managing resources to ensure timely delivery of high-quality outcomes.
- Communication & Stakeholder Engagement : Adept at explaining complex technical issues to diverse audiences, delivering constructive feedback, and providing clear updates to stakeholders.
- Cross-Functional Collaboration : Experience in collaborating with cross-functional teams, particularly in driving process improvements alongside engineering teams.
- Core Python : Deep understanding of Python syntax, data structures, and libraries.
- Object-Oriented Programming (OOP) : Expertise in designing and implementing classes, inheritance, polymorphism, and encapsulation.
- Concurrency and Parallelism : Knowledge of multithreading, multiprocessing, and asynchronous programming (e.g., using asyncio, threading, or multiprocessing).
- Python Web Frameworks : Experience with popular web frameworks like Django, Flask, or FastAPI for building scalable and efficient applications.
- Data Handling : Proficiency with libraries like Pandas, NumPy, SQLAlchemy, and others to manage and manipulate data.
- Testing : Knowledge of unit testing, integration testing, and test-driven development (TDD). Familiarity with pytest, unittest, and mocking.
- Performance Optimization : Experience with profiling, debugging, and optimizing code for performance using tools like cProfile or memory profiler.
What does day-to-day life look like?
- Code Review & Quality Assurance : Conduct thorough reviews of LLM code, provide feedback, and ensure adherence to quality standards.
- Tool Optimization : Implement customizations and automation to improve team workflows and efficiency.
- Team Leadership : Lead a small team, providing technical guidance and setting clear expectations for project success.
- Collaboration : Coordinate with engineering and other teams to ensure technical requirements for data are met.
- Process Improvement : Continuously assess and enhance team processes and workflows to drive productivity.
- Stakeholder Interaction : Regularly communicate project updates and address any technical requirements from stakeholders.
Functional Areas: Software/Testing/Networking
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