Oneline Store

 Remote Material Science Expert (Masters/PhDs) In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: Have a  Masters or PhD  in  Material Science  from a top US university. Have experience  coding   in Python, MATLAB for projects or research. Have field-specific experience in Semiconductor Materials, Molecular Modeling Have high  attention to detail. Have exceptional  written and verbal communication skills. Have excellent proficiency in English. Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: You will work asynchronously with a team of highly qualified experts across your domain. You will craft, solve, and review challenging problems with real...

  Remote Data Scientist (Kaggle-Grandmaster) In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. What You’ll Do Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data Design and implement robust validation strategies, experiment frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams Translate modeling outcomes into ...

 Remote Backend Software Engineer This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities Develop and validate coding benchmarks in Go by curating issues, solutions, and test suites from real-world repositories Ensure benchmark tasks include comprehensive unit and integration tests for solution verification Maintain consistency and scalability of benchmark task distribution Provide structured feedback on solution quality and clarity Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist Degree in Software Engineering, Computer Science, or a related field Strong proficiency in Go Experience with debugging, testing, and validating code Comfortable with technical writing and attention to detail Project Timeline Start Date: Immediate Duration: 1 month  ...