Website:
fetchjobs.co
Job details:
About The Company
Turing is a leading research accelerator based in San Francisco, California, dedicated to advancing frontier AI research and supporting global enterprises in deploying sophisticated AI systems. As a trusted partner for organizations seeking to harness the power of artificial intelligence, Turing specializes in accelerating research through high-quality data, cutting-edge training pipelines, and top-tier AI researchers with expertise in coding, reasoning, STEM, multilinguality, multimodality, and intelligent agents. The company's mission is to transform AI from proof of concept into proprietary, reliable, and impactful solutions that deliver measurable results and drive business growth. Turing's innovative approach and commitment to excellence position it at the forefront of AI research and enterprise transformation, making it a desirable workplace for professionals eager to contribute to groundbreaking projects in artificial intelligence.
About The Role
We are seeking experienced Machine Learning Engineers (MLE Bench) to join our team and contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on engagement with production-grade ML codebases, developing and refining model training and evaluation pipelines, and deploying workflows that assess and enhance the capabilities of advanced AI systems. The ideal candidate will possess a strong ability to bridge research and engineering, working deeply with models, data, and infrastructure within realistic ML environments. This position offers an exciting opportunity to work on challenging evaluation tasks, improve existing systems, and collaborate with a talented team of researchers and engineers dedicated to pushing the boundaries of AI technology.
Qualifications
The ideal candidate will have a minimum of three years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML. Proficiency in Python is essential, especially for developing and managing data workflows and ML pipelines. Hands-on experience with model training, evaluation, and inference workflows is required, along with a solid understanding of machine learning fundamentals such as supervised and unsupervised learning, evaluation metrics, and optimization techniques. Candidates should have experience working with popular ML frameworks like PyTorch, TensorFlow, or JAX, and be comfortable navigating complex, real-world ML codebases. Strong problem-solving, debugging skills, and the ability to write clean, reusable, and maintainable production-quality code are critical. Excellent communication skills in English, both spoken and written, are also necessary to facilitate effective collaboration within cross-functional teams.
Responsibilities
- Work with real-world ML codebases to support model evaluation and benchmarking tasks aligned with MLE Bench standards.
- Develop, run, and modify model training, evaluation, and inference pipelines to ensure robustness and performance.
- Prepare datasets, features, and metrics to facilitate comprehensive ML benchmarking and validation processes.
- Debug, refactor, and optimize production-like ML systems to improve correctness, efficiency, and scalability.
- Analyze model behavior, identify failure modes, and evaluate edge cases relevant to benchmark tasks to inform system improvements.
- Write clean, well-documented, and reproducible Python code for ML workflows, ensuring high standards of software engineering.
- Participate in code reviews to maintain quality and share best practices across the team.
- Collaborate closely with researchers and engineers to design and implement challenging, real-world ML evaluation tasks that push system capabilities.
Benefits
Joining Turing as a freelance Machine Learning Engineer offers the flexibility to work remotely from anywhere, providing a conducive environment for productivity and work-life balance. You will have the opportunity to engage with cutting-edge AI projects alongside leading companies in the large language model (LLM) space, gaining exposure to innovative technologies and methodologies. Turing also offers a dynamic work environment that fosters continuous learning and professional growth, along with competitive compensation aligned with your expertise and contributions. As part of our global network, you will be part of a community dedicated to pushing the boundaries of AI research and application, making a meaningful impact on the future of technology.
Equal Opportunity
Turing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and contractors. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe that a diverse team fosters innovation and creativity, and we are dedicated to providing equal opportunities for all talented professionals to contribute and thrive within our organization.
Click on Apply to know more.