应用人工智能科学家
Principal Applied AI Scientist
Vantor 正在开拓空间智能的新领域，帮助决策者和操作人员了解当前发生的事情，并塑造未来的发展。Vantor 是一个为问题解决者、变革推动者和进取者打造的地方——在这里，人们共同努力，帮助我们的客户以不同的方式看待世界，并因此被以不同的方式看待。加入我们，不只是为了工作，更是为了一个使命，你可以：塑造自己的未来，打造下一个大项目，并改变世界。
要符合此职位的资格，你必须是美国人士，即美国公民、永久居民、庇护人或难民。出口管制/ITAR：某些职位可能受美国出口管制法规约束，要求具备美国人士身份，如 8 U.S.C. 1324b(a)(3) 所定义。
请查看以下职位详情。
职位描述
设计、开发和编程方法、流程和系统，以整合和分析非结构化、多样化的“大数据”来源，生成可操作的洞察和解决方案，用于客户支持和产品改进。与产品和服务团队互动，识别数据分析和实验的问题和议题。开发和编写软件程序、算法和自动化流程，以清理、集成和评估来自多个不同来源的大数据集。从大型数据和元数据源中识别有意义的洞察；将分析和实验的洞察和发现传达给产品、服务和业务经理。
拥有广泛的经验，运用专业概念和公司目标以创造性和有效的方式解决复杂问题。处理复杂问题，其中对情况或数据的分析需要深入评估各种因素。在选择方法、技术和评估标准以获得结果方面行使判断力。与自己专业领域之外的关键联系人建立网络。在新任务上确定方法和程序，可能开始协调其他团队成员的活动。通常需要至少 8 年相关经验，拥有学士学位；或 6 年和硕士学位；或博士学位并有 3 年经验；或同等经验。
职责
· 设计、开发和部署由人工智能驱动的应用程序，将大规模地理空间数据转化为可操作的洞察和预测智能。
· 构建和运营端到端的 AI/ML 管道，包括数据摄取、预处理、特征工程、训练、评估和产品化。
查看英文原文
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Job Description
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise. Determines methods and procedures on new assignments and may begin to coordinate activities of other team members. Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
Responsibilities
· Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.
· Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
· Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that combine imagery, geospatial signals, and structured data.
· Architect enterprise-grade training and experimentation frameworks, including automated pipelines, experiment tracking, benchmarking, and reproducible evaluation.
· Create synthetic datasets and test harnesses to validate model performance, robustness, and edge-case behavior in real-world operational environments.
· Work closely with domain experts, software engineers, product managers, and research partners to translate complex Earth intelligence challenges into deployable AI solutions.
· Optimize models and inference systems for scalability, latency, cost efficiency, and reliability on modern cloud infrastructure.
· Implement and maintain production inference systems, including monitoring, model versioning, retraining workflows, and performance tracking.
· Stay current with the latest advances in foundation models, generative AI, multimodal learning, and reasoning systems, and translate research breakthroughs into practical systems.
· Maintain high engineering standards through code reviews, documentation, experimentation discipline, and collaborative problem solving.
· Help shape the next generation of Earth AI capabilities through collaboration with leading research organizations and technology partners.
Minimum Qualifications
· MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field, or equivalent practical experience.
·
5+ years of experience building and deploying machine learning systems in production environments.
· Demonstrated experience designing and delivering end-to-end ML pipelines, including data processing, training automation, evaluation frameworks, and scalable inference.
· Hands-on experience developing and deploying deep learning models, particularly in one or more of the following areas:
· Vision-language models (VLMs)
· Multimodal learning
· Reasoning models
· Large language models (LLMs)
· Computer vision or geospatial AI
· Strong programming skills in Python, with experience using modern ML frameworks such as PyTorch, TensorFlow, or JAX.
· Experience building reproducible experimentation pipelines, including model evaluation, dataset versioning, and experiment tracking.
· Experience deploying models into production environments using modern cloud infrastructure and containerized systems.
· Familiarity with distributed training, large-scale data processing, and model optimization techniques.
· Ability to collaborate across research, engineering, and product teams to bring advanced AI capabilities into real-world applications.
Preferred Qualifications
· Experience working with geospatial data, remote sensing, satellite imagery, or Earth observation systems.
· Experience building or fine-tuning foundation models, multimodal models, or agentic AI systems.
· Familiarity with Google Cloud Platform (GCP), including large-scale AI/ML infrastructure.
· Experience implementing model monitoring, evaluation pipelines, and automated retraining systems.
· Contributions to open-source AI projects, research publications, or patents.
Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
● The base pay for this position within Colorado is: $150,000.00 - $200,000.00 - $220,000.00 annually.● The base pay for this position within New Jersey is: $150,000.00 - $200,000.00 - $220,000.00 annually.● The base pay for this position within Delaware is: $150,000.00 - $200,000.00 - $220,000.00 annually.● The base pay for this position within the Washington, DC metropolitan area is: $165,000.00 - $220,000.00 - $242,000.00 annually.● The base pay for this position within California is: $150,000.00 - $200,000.00 - $220,000.00 annually.For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Vantor.com/careers
Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Originally posted on Himalayas