Machine Learning Scientist

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 1%

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GoodPower

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2008

💼 Consulting

📦 Logistics

⚡ Energy

Consulting • Logistics • Energy

GoodPower is a research-driven strategic communications and campaigning organization that mobilizes public and political support for a renewable, decarbonized economy. It runs programs focused on renewable energy, political engagement, regenerative agriculture, global deployment of low-carbon technologies, and innovation—using its in-house Good Data Lab to develop evidence-based strategies and prototype AI tools to increase impact. GoodPower aims to lower energy costs, create clean jobs, strengthen food systems, and build broad-based political power for the energy transition.

📋 Description

• Translate user needs and strategic challenges into tractable ML problems • Establish baselines, define success criteria, and prioritize experiments • Develop models for classification, entity resolution, anomaly detection, forecasting, ranking, and risk assessment • Combine text, geospatial, energy, market, media, and organizational data to reveal useful patterns • Apply statistical models, classical ML, deep learning, graph methods, and LLMs • Use predictive models, optimization, and scenario analysis to evaluate options and allocate resources • Apply experimental design and causal inference to assess intervention effectiveness • Build representative datasets, labeling strategies, and evaluation benchmarks • Test model performance across time, geography, groups, and unfamiliar contexts • Quantify uncertainty, calibration, and false-positive/false-negative consequences • Make research reproducible through versioned data, code, and experiments • Document assumptions, limitations, failure modes, and monitor model drift • Build retrieval and synthesis systems, verifiable answers, and actionable intelligence • Develop and evaluate tool-using agents and LLM systems • Shape reusable data representations, feature pipelines, retrieval services, and model interfaces • Partner with software and ML engineers to move validated prototypes into reliable products • Define data/API contracts, deployment requirements, monitoring, and retraining plans • Identify high-value AI/ML opportunities and help prioritize the AI/ML portfolio • Work with product, research, communications, and program teams • Define and track outcomes such as decision quality, predictive performance, user adoption, analyst time saved, and workflow cost • Report to the Chief Innovation Officer

🎯 Requirements

• PhD in machine learning, computer science, statistics, or a related quantitative field • 3-5 years of applied ML experience; exceptional recent PhD graduates with substantial applied work will also be considered • Evidence of turning ambiguous problems into rigorous experiments and useful AI/ML capabilities • Experience with baselines, validation, uncertainty assessment, and error analysis • Hands-on NLP and LLM application experience, including embeddings, retrieval-augmented generation, and systematic evaluation • Strong Python skills • Experience with PyTorch/TensorFlow, scikit-learn, and pandas • Proficiency in SQL, version control, and reproducible research • Experience deploying and evaluating models in real workflows • Sound statistical judgment and ability to work with heterogeneous, incomplete, or noisy data • Ability to distinguish predictive associations from evidence of causation • Ability to own technical work, prioritize under uncertainty, and communicate findings to technical and nontechnical colleagues • Curiosity about energy and climate challenges and motivation to learn from domain experts • Occasional travel required • Ability to work outside regular business hours, including some evenings and weekends, when required

🏖️ Benefits

• 95-100% employer-paid medical, dental, and vision insurance • HSA and FSA options • 403(b) retirement savings plan with 3% employer contribution/match • 2-4 weeks of paid vacation annually, depending on seniority • 13 paid holidays and 2 floating holidays • 2 weeks of US office closure • 10 days of paid sick leave annually • 1:1 charitable contribution match up to $250 per year • 2 paid days off for volunteering • Education reimbursement up to $1,500 per year • $200/month stipend for cell phone, wellness expenses, etc. • 8 weeks of paid sabbatical after 5 years of employment • 8 weeks of paid parental leave • Remote work arrangement • Paid travel for in-person all-staff meetings and organizational events/work-related needs

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