Remote Machine Learning Engineer - AI-Powered Product Development & Deployment

Unlock Your Potential as a Remote Machine Learning Engineer at Turing Join the ranks of the top 1% of Machine Learning engineers at Turing, a pioneering company that's redefining the future of work by unleashing the world's untapped human potential. As a Remote Machine Learning Engineer, you'll play a crucial role in developing and deploying cutting-edge ML models and algorithms that power our AI-backed product, driving innovation and growth. About Turing and the Talent Cloud Turing is a trailblazing company that has achieved unicorn status with a valuation of $1.1B, after securing over $140M in financing across four funding rounds. Our Talent Cloud platform is a comprehensive ecosystem that uses AI to source, evaluate, hire, onboard, and manage engineers remotely, handling HR and compliance aspects seamlessly. With Turing, 900+ companies, including industry giants like Johnson & Johnson, Pepsi, Dell, Disney+, and Coinbase, have successfully hired top developer talent. Key Responsibilities: Crafting the Future of AI-Powered Products

• Building Robust Backend Infrastructure: Design and develop scalable backend infrastructure, data pipelines, and machine learning models that fuel our AI-backed product.
• Ranking Models and Automation: Create effective ranking models and automate modeling pipelines to drive product innovation.
• Complex Problem-Solving: Implement new features that tackle intricate data management problems, showcasing your technical prowess.
• Model Deployment and Experimentation: Deploy machine learning models to end-users, run experiments, and iterate on feedback to ensure continuous improvement.
• Foundational ML Model Development: Leverage computer science fundamentals, including data structures, algorithms, programming languages, distributed systems, and information retrieval, to build exceptional ML models.

Essential Qualifications: The Building Blocks of Success

• 2+ Years of Experience: A minimum of 2 years of experience in engineering and machine learning methods, with a proven track record of delivering results.
• Applied Machine Learning Expertise: In-depth understanding of applied machine learning algorithms, with a focus on NLP and statistics.
• Production Deployment Experience: Experience in deploying models and algorithms in production environments, ensuring seamless integration.
• Python Proficiency: Strong proficiency in Python, a key language for machine learning and development.
• Database Versatility: Experience working with both SQL and NoSQL databases, understanding their strengths and applications.
• Testing and Validation: Good testing skills, ensuring the quality and reliability of your work.
• Data Science and Engineering: Comfortable with both data science and the engineering required to bring your models to production, bridging the gap between theory and practice.

Preferred Qualifications: Elevating Your Candidacy While not mandatory, additional qualifications that can enhance your application include:

• Experience with cloud-based technologies and platforms.
• Knowledge of containerization using Docker and orchestration tools like Kubernetes.
• Familiarity with Agile development methodologies and version control systems like Git.
• Participation in open-source projects or contributions to machine learning communities.

Skills and Competencies: The Keys to Success To excel as a Remote Machine Learning Engineer at Turing, you'll need:

• Strong Technical Foundation: A solid grasp of computer science fundamentals, machine learning algorithms, and software development principles.
• Problem-Solving Abilities: The capacity to analyze complex problems, identify solutions, and implement them effectively.
• Collaboration and Communication: Excellent teamwork and communication skills, ensuring seamless collaboration with cross-functional teams.
• Adaptability and Continuous Learning: A willingness to learn, adapt to new technologies, and evolve with the company's growth.

Career Growth

Opportunities and Learning Benefits At Turing, we're committed to your growth and development. As a Remote Machine Learning Engineer, you'll have access to:

• Professional Development Opportunities: Training, mentorship, and opportunities to take on new challenges.
• Innovative Environment: A culture that encourages innovation, experimentation, and