Machine Learning Research Engineer, Applied Research

Responsibilities

• Ambiguous applied research problems
• Translate real-world needs from customers, government programs, and internal teams into tractable machine learning questions, experiments, and deliverables.
• Rapid technical development
• Build prototypes, adapt models, analyze unfamiliar datasets, and test ideas quickly. Some projects will become product capabilities; others will answer an important question and point us toward the next one.
• End-to-end project ownership
• Scope work, identify technical risks, set milestones, execute the research, and communicate progress.
• You will often be the person making sure an open-ended project reaches a useful conclusion.
• Model and data adaptation
• Explore ways to customize WeatherMesh for particular regions, forecast targets, observation sources, or operational constraints.
• External technical partnership
• Serve as a technical counterpart to sophisticated customers and research partners. Understand what they actually need, explain our models accurately, and build trust through clear reasoning and reliable execution.
• Research communication
• Present results through demonstrations, reports, and technical briefings. Explain both what worked and the limitations that remain.

Qualifications

• Strong Python and PyTorch skills, including the ability to modify research code and build working prototypes independently.
• A track record of taking loosely specified technical problems from idea to validated result.
• Strong experimental instincts and comfort working with imperfect data, incomplete requirements, and changing priorities.
• Excellent written and verbal communication. You can work directly with external partners without overstating results or losing them in unnecessary detail.
• Comfortable moving between research, engineering, analysis, and project coordination as the problem requires.
• Experience with weather, climate, geospatial data, scientific machine learning, government research programs, or forward-deployed engineering is helpful, but not required.

Benefits

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance
• Unlimited PTO
• Stock Option Plan
• Office food and beverages

Pay

$140k–$240k. We are considering a range of backgrounds and experience levels for this position and adjust our offers accordingly to be competitive with market rates.

Schedule

Hybrid or in-person.