Machine Learning Scientist (AI/ML)

Location: Remote-based in the US

Annual salary: $160,000–$190,000, commensurate with experience

Company

hirify.global works to accelerate decarbonization through research, innovation, strategic communications, behavioral research, and technology focused on the global energy transition.

What you will do

• Translate strategic and user needs into applied machine learning problems, experiments, baselines, and measurable success criteria.
• Develop models for classification, entity resolution, anomaly detection, forecasting, ranking, risk assessment, optimization, and scenario analysis.
• Build retrieval-augmented generation and synthesis systems that produce verifiable answers and actionable intelligence from heterogeneous data.
• Develop and evaluate tool-using agents with appropriate permissions, failure recovery, and human review.
• Build evaluation, monitoring, data quality, uncertainty, calibration, and drift-management practices for ML, LLM, and agent systems.
• Partner with software and ML engineers to integrate validated prototypes into reliable products with defined APIs, deployment, monitoring, and retraining plans.

Requirements

• PhD in machine learning, computer science, statistics, or a related quantitative field, plus 3–5 years of applied ML experience; exceptional recent PhD graduates with substantial applied work may be considered.
• Experience turning ambiguous problems into rigorous experiments with baselines, validation, uncertainty assessment, and error analysis.
• Hands-on experience with NLP and LLM applications, including embeddings, retrieval-augmented generation, and systematic evaluation.
• Strong Python skills with PyTorch or TensorFlow, scikit-learn, pandas, SQL, version control, and reproducible research practices.
• Experience deploying and evaluating models in real workflows and working with heterogeneous, incomplete, or noisy data.
• Ability to distinguish predictive associations from causal evidence and communicate findings to technical and nontechnical colleagues.

Nice to have

• Experience with energy, climate, grid, infrastructure siting, permitting, regulatory, or public participation data.
• Experience with geospatial analysis, graph machine learning, or time-series forecasting.
• Publications, open-source contributions, or deployed projects demonstrating methodological depth and practical impact.

Culture & Benefits

• Medical, dental, and vision insurance with 95–100% of employee and dependent premiums paid by hirify.global.
• Paid vacation, 13 paid holidays, 2 floating holidays, 2 weeks of US office closure, and 10 days of paid sick leave annually.
• 403(b) with a 3% employer contribution or match.
• Education reimbursement of up to $1,500 per year and a $200 monthly stipend for cell phone and wellness expenses.
• Paid parental leave, an eight-week sabbatical after five years, charitable contribution matching, and paid volunteer days.
• Benefits vary by local laws, regulations, customary practices, and organizational policies.