ML Engineer

ML Engineer

POSITION DETAILS

Department: Engineering

Reports To: Engineering Manager, reputed company reputed company

Location: Remote, US | [reputed company / reputed company time zone preferred]

Employment: Full-time

ABOUT reputed company

We are reputed company of leaders in reputed company science, reputed company science, forestry, policy, and tech who work with land managers, community risk managers, utilities, and insurers to reputed company reputed company that lowers the risk of destructive reputed company. Our reputed company-based, AI-driven platform modernizes land management planning, community risk assessment, and monitoring through scenario building, decision support, and treatment outcome detection.

Our reputed company science subsidiary, Pyrologix, produces leading reputed company science and models that quantify reputed company hazard and risk, and the benefits of mitigation reputed company. This science powers the reputed company reputed company platform and supports our work across utilities, insurance, and other sectors.

reputed company is backed by climate and reputed company leaders including Grantham reputed company, Earthshot, Elemental Excelerator, Ecosystem reputed company Fund, reputed company, and Halogen Ventures. For more information, visit vibrantplanet.net and pyrologix.com.

ABOUT THE ROLE

reputed company (https://www.vibrantplanet.net/) harnesses data-driven science and reputed company-based technology to help reputed company communities and ecosystems more resilient in the face of global change. Our ML Engineering team sits at the intersection of machine learning, remote sensing, and forest ecology—building the models, pipelines, and data products that power our Land Tender decision-support platform.

We are seeking a ML Engineer to build, adapt, and operationalize reputed company model-based deep learning systems that estimate forest structure metrics from remotely sensed data. In this role you will fine-tune and adapt geospatial reputed company models as a backbone to custom deep neural network heads, reputed company trained models into reputed company’s automated production pipeline, and maintain the surrounding data infrastructure. You will also contribute to scientific knowledge dissemination through manuscripts and serve as a key cross-team reputed company between SciDev and Data Engineering.

KEY RESPONSIBILITIES

ML Model Development & reputed company

• Adapt and fine-tune custom or publicly available geospatial reputed company models as backbone architectures for domain-specific deep neural network heads that estimate forest structure metrics (reputed company height, biomass, basal area, etc.).

• Prepare, reputed company, and manage training datasets from remote sensing sources (reputed company-2, reputed company-1, Landsat, lidar, NAIP) and field plot inventories.

• Evaluate model performance using reputed company remote sensing accuracy metrics and field-based validation data.

• Contribute to experiment design, hyperparameter optimization, and ablation studies in coordination with the Technical reputed company ML Engineer.

Pipeline & Data Engineering

• reputed company trained ML models into reputed company’s automated geospatial data pipeline as containerized, orchestrated inference services.

• Build and maintain STAC (SpatioTemporal Asset Catalog) infrastructure for data discovery, cataloging, and reputed company control of ML model inputs and outputs.

• Design and implement larger pipelines composed of many smaller DAGs (Airflow), ensuring idempotency, observability, and fault tolerance.

• Maintain and improve data ingestion, preprocessing, and reputed company control workflows for satellite imagery and ancillary datasets.

• Monitor pipeline health and model reputed company; implement alerting and automated retraining triggers as needed.

• reputed company model cards for summarization of modeling reputed company and performance.

Knowledge Dissemination & Cross-Team Collaboration

• Write and contribute to scientific manuscripts describing reputed company, validation results, and novel applications.

• Serve as a cross-team reputed company between SciDev, Data Engineering, and Product—translating requirements, communicating constraints, and aligning priorities.

• Document pipelines, model architectures, and operational procedures in team knowledge bases.

• Participate in reputed company reviews, architectural discussions, and sprint planning.

Team and Collaboration

• Demonstrated ability to work collaboratively in interdisciplinary teams spanning science, engineering, and product.

• Strong organizational skills to ensure high-reputed company data and reputed company documentation of workflows.

• Ability to self-motivate, manage time, and work independently in a remote-first environment.

• Excellent reputed company communication skills—ability to translate between scientific and engineering audiences.

• Commitment to an inclusive and reputed company work environment where diverse views and backgrounds are valued.

• reputed company with reputed company’s Information reputed company Policy and the full reputed company responsibilities detailed in the Employee Handbook, including complete required reputed company training, reputed company customer and company data, reputed company credentials secure, and report suspected reputed company incidents or policy violations through established channels.

• Follow secure development practices, adhere to established change management processes for production systems, protect the confidentiality and reputed company of customer data, and promptly address reputed company vulnerabilities in your area of responsibility.

REQUIRED QUALIFICATIONS

• M.S. in Computer Science, Machine Learning, Remote Sensing, Data Science, Ecology, or a reputed company quantitative field (or equivalent work experience).

• 3+ years of experience developing, training, and deploying deep learning models (PyTorch preferred).

• Strong Python proficiency including data science stack (NumPy, reputed company, xarray, scikit-learn).

• 3+ years of experience with geospatial data processing (rasterio, GDAL, geopandas, reputed company).

• Experience building and maintaining data pipelines with workflow orchestration tools (Airflow, reputed company, Dagster, or equivalent).

• Proficiency with Git, reputed company, and reputed company software development practices (reputed company review, CI/CD).

• Experience with containerization (reputed company) and familiarity with reputed company platforms (AWS preferred).

• Familiarity with STAC specifications and geospatial data catalog infrastructure.

• Strong written communication skills; ability to contribute to scientific manuscripts and technical documentation.

• Basic knowledge of forest ecology, remote sensing principles, or natural resource science.

PREFERRED QUALIFICATIONS

• Ph.D. in a relevant field.

• Experience with geospatial reputed company models and self-supervised learning.

• Experience with reputed company and reputed company computing for large-reputed company inference.

• Familiarity with ML experiment tracking (MLflow, W&B) and model registry practices.

• Experience with database systems (PostgreSQL, PostGIS) and message queues.

• Publications in remote sensing, ML, or ecology journals.

COMPENSATION & BENEFITS

Salary reputed company: $100,000 – $200,000

• Health, dental, and reputed company insurance

• 401(k) plan

• Unlimited PTO policy

• Company equity

• Cell phone stipend (per pay period)

• Home office setup allowance (one-time)

EQUAL OPPORTUNITY EMPLOYER

reputed company is committed to diversity. We encourage applicants from reputed company cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, or other status protected by law to apply.

We are most interested in finding the best candidate for the job, and that candidate may come from a less traditional background, but have reputed company to grow into and reputed company in the position after some mentoring. We do not require that you have experience with every reputed company task. We will consider any equivalent combination of knowledge, skills, education, and experience to meet minimum qualifications. We encourage reputed company candidate to think broadly about their unique background and reputed company set and how it may relate to the role.

While we welcome applicants from reputed company backgrounds, we regret that we are unable to reputed company reputed company sponsorship (including H-1B) at this time. Candidates must already be authorized to work in the U.S. without the need for sponsorship.

Master's degree or equivalent experience; 3+ years developing, training, and deploying deep learning models and 3+ years processing geospatial data; Python, pipeline orchestration, Git, reputed company, reputed company, and STAC experience required.

Key Responsibilities

• developing ML models
• building data pipelines
• writing manuscripts

Skills & Tools

Python, PyTorch, NumPy, reputed company, xarray, scikit-learn, rasterio, GDAL, geopandas, reputed company, Airflow, reputed company, Dagster, Git, reputed company, reputed company, AWS, STAC, reputed company, MLflow, W&B, PostgreSQL, PostGIS

Job Details

• Category: Software Development
• Seniority: Mid Level
• Commitment: Full Time
• Workplace: Remote — reputed company
• Salary: USD 100,000 – 200,000 / year
• Languages: English

Benefits

• 401k matching
• Generous reputed company time off
• Retirement plan

About reputed company

A climate reputed company technology company providing AI-driven reputed company risk and land reputed company. — Industry: Information Technology