Machine Learning Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and assess predictive machine learning models, emphasizing forecasting and time-series applications.

• Perform exploratory data analysis, feature engineering, and statistical modeling on extensive structured and unstructured datasets.

• Collaborate with the Engineering team to specify ML infrastructure needs, deploying and integrating ML models into operational workflows and decision-support systems.

• Work collaboratively with Camus teams to establish problem statements and convert business objectives into machine learning solutions.

• Clearly convey model performance, uncertainties, and limitations to both technical and non-technical stakeholders.

• Advocate for machine learning best practices related to reproducibility, version control, and testing.

⛳️ Requirements

• PhD with over 3 years of industry experience, a Master’s with more than 5 years, or a Bachelor’s with 8+ years in Machine Learning, Statistics, Computer Science, Applied Mathematics, or a related quantitative discipline.

• Proven experience in deploying ML models in production environments.

• Familiarity with time-series forecasting techniques, including classical methods (e.g., ARIMA) and contemporary ML-based approaches (e.g., gradient boosting or temporal neural networks).

• Strong command of Python and essential ML/data science libraries (PyTorch, scikit-learn, statsmodels, pandas, etc.).

• Experience with probabilistic forecasting, uncertainty quantification, and backtesting.

• Capability to translate vague business challenges into well-defined ML projects.

• Comfortable working independently within a small team, balancing rapid delivery with the engineering rigor required for production-grade software.

🏝️ Benefits

• Competitive base salary.

• Comprehensive benefits package, including FSA and 401k for full-time employees.

• Fully remote work environment with the option for in-office work in the Bay Area.

• Flexible PTO, which we encourage you to utilize!

• Make a meaningful impact on climate change - we are creating the world we aspire to live in, and we invite you to be part of this journey!