Vantor
Vantor
1 001 – 5 000 Қызметкерлер
КонсалтингҚорғанысЛогистика
Vantor — жасанды интеллектке дайын тірі жер шарының моделін және коммерциялық түсірілім спутниктері шоғырын әзірлейтін кеңістіктік барлау компаниясы. Оның платформалары ғарыштан, әуеден және жерден алынған сенсор деректерін біріктіріп, нақты уақыттағы тапсырма беруді, сенсорларды үйлестіруді, ажыратымдылығы жоғары базалық карталарды, радиолокациялық және оптикалық бейнелерді, сондай-ақ барлау, бақылау және барлау-іздестірудің автономды мүмкіндіктерін қолдайды. Vantor қорғаныс, барлау, мемлекеттік және коммерциялық клиенттерге қызмет көрсетеді. Компания командалары спутниктік түсірілімге, геокеңістіктік деректерге, логистикаға және консалтингке қатысты технологиялармен жұмыс істейді.

Principal Applied AI Scientist - Vantor, Remote United States

Lead the development of production AI and machine learning systems for Vantor’s spatial intelligence platform. Apply geospatial data, imagery, and multimodal models to generate operational intelligence.

Сипаттама

  • Develop and deploy AI applications that turn large-scale geospatial data into actionable and predictive intelligence.
  • Build and manage complete machine learning pipelines spanning data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
  • Bring reasoning, vision-language, and multimodal models into production using imagery, geospatial signals, and structured data.
  • Design enterprise training and experimentation frameworks with automated workflows, experiment tracking, benchmarking, and reproducible evaluation.
  • Develop synthetic datasets and testing harnesses to assess model performance, robustness, and edge-case behavior.
  • Work with domain specialists, software engineers, product managers, research collaborators, and technology partners.
  • Improve model and inference performance for scale, latency, cost efficiency, and reliability in modern cloud environments.
  • Maintain production inference systems, including monitoring, model versioning, retraining workflows, and performance measurement.
  • Evaluate developments in foundation models, generative AI, multimodal learning, and reasoning systems for practical application.
  • Uphold engineering quality through code reviews, documentation, disciplined experimentation, and collaborative problem solving.
  • Contribute to the development of next-generation Earth AI capabilities.

Талаптар

  • Must hold U.S. Person status as a U.S. citizen, permanent resident, Asylee, or Refugee.
  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical discipline, or equivalent practical experience.
  • At least five years of experience building and deploying machine learning systems in production.
  • Experience designing and delivering end-to-end machine learning pipelines.
  • Experience developing and deploying deep learning models.
  • Experience with vision-language models, multimodal learning, reasoning models, large language models, computer vision, or geospatial AI.
  • Advanced Python programming skills.
  • Experience with PyTorch, TensorFlow, or JAX.
  • Experience creating reproducible experimentation pipelines.
  • Experience deploying models with modern cloud infrastructure and containerized systems.
  • Familiarity with distributed training, large-scale data processing, and model optimization methods.
  • Ability to work effectively across research, engineering, and product teams.
  • Typically requires eight years of related experience with a bachelor’s degree, six years with a master’s degree, or three years with a PhD, or equivalent experience.
  • Preferred experience working with geospatial data, remote sensing, satellite imagery, or Earth observation systems.
  • Preferred experience building or fine-tuning foundation models, multimodal models, or agentic AI systems.
  • Preferred familiarity with Google Cloud Platform.
  • Preferred experience implementing model monitoring, evaluation pipelines, and automated retraining systems.
  • Preferred contributions to open-source AI projects, research publications, or patents.

Артықшылықтар

  • 401(k) plan with company matching contributions.
  • Mental health support resources.
  • Student loan repayment assistance.
  • Adoption reimbursement.
  • Pet insurance.
  • Eligibility for incentive compensation based on contribution, company performance, and individual results.

Ұқсас жұмыс орындары

EY

Microsoft Co-Investments Lead Analyst, Supervising Associate

EY

At EY, coordinate governance, funding and portfolio reporting for Microsoft co-investment programs. Support AI-focused growth initiatives and commercialization with stakeholders across India.

Ашу
MTN Uganda

Manager, IFRS 9 Provisions, Profitability and Risk Appetite

MTN Uganda
1 001 – 5 000 Қызметкерлер
B2CТелекоммуникацияларФинтех

Lead MTN South Africa’s IFRS 9 credit-loss provisions, profitability modelling and credit risk appetite analytics. The role also oversees budgeting, audits, projects and credit analytics staff.

Ашу
EY

Senior Finance Relationship Owner – EY

EY

Support EY’s global financial planning, budgeting and control operations. Advise senior leaders and oversee financial performance across global functions.

Ашу
BeOne Medicines

Senior Director of Finance Transformation

BeOne Medicines

Lead enterprise finance transformation at BeOne Medicines, a global biopharmaceutical company. Modernize finance systems, data, processes, and operating models while advising senior leaders.

Ашу
Delivery Hero

Junior 3PL Account Manager, Fleet Operations — Spain (Remote)

Delivery Hero

Manage logistics provider partnerships for Glovo’s delivery marketplace in Spain, using fleet data and commercial negotiations to improve scale and profitability.

Ашу
UFG Insurance

Lead Investment Reporting Accountant

UFG Insurance

Lead investment accounting and reporting for UFG Insurance, overseeing financial statements, valuations, controls, audits, and improvements to reporting processes.

Ашу
atomos wealth

Financial Planning Advice Quality Assessor

atomos wealth
201 – 500 Қызметкерлер
Қаржы

Review financial planning files, suitability assessments, and compliance records at Atomos Wealth. Identify risks and help ensure client recommendations meet regulatory requirements.

Ашу
Phoenix Group

Non-Financial Risk Manager, Private Markets

Phoenix Group

Oversee operational risks across private markets and retirement activities, providing independent second-line challenge and governance oversight. Advise senior stakeholders on risk management and emerging issues.

Ашу
Abnormal Security

Senior Director of GTM Finance at Abnormal Security

Abnormal Security

Lead go-to-market financial strategy for Abnormal Security’s cybersecurity SaaS business. Oversee forecasting, sales compensation, financial modeling, and AI-enabled Finance operations.

Ашу
Air Liquide

Finance Trainee – French, German or Dutch Speaker

Air Liquide

Join Air Liquide’s finance trainee program to support accounting, treasury and reconciliations at its global business services center. Help improve financial close and ERP processes while working in English and French, German or Dutch.

Ашу