AI/ML Software Engineer

Design and implement closed-loop control for satellites.

Develop simulations to validate GNC controllers.

Design and implement MDM/UEM solutions.

Securely manage devices and applications.

Support design and development of clinical study protocols.

Translate research goals into study plans.

Lead a team in AI product development.

Collaborate with various stakeholders for project success.

Leverage statistical analysis for talent insights.

Support data-driven model development.

Develop and deploy pricing models for auto insurance.

Transform raw data into model-ready inputs.

Design bid optimization systems for real-time applications.

Implement budget pacing to manage expenditure over time.

Leverage statistical analysis to generate insights on talent themes.

Develop data-driven models to identify people trends.

Develop Linux OS configurations.

Provide technical leadership.

Manage and optimize the ZTNA platform.

Design secure access policies for tools and environments.

Own systems engineering of ADAS features.

Develop performance requirements and verification plans.

Design AI-specific threat detection strategies.

Build automated response mechanisms.

Lead the technical strategy and influence across domains.

Drive architecture and tech strategy for operational excellence.

Own end-to-end model evaluation processes.

Build and maintain benchmarking pipelines.

Automate claims processing workflows.

Enhance customer satisfaction through effective management.

Map customer demand with Solutions Architects.

Lead strategies post-technical win.

Identify inefficiencies and opportunities with stakeholders.

Build and ship custom tools and integrations.

Manage risk on large trades.

Monitor macro and crypto markets.

Conduct comprehensive investigations for IP and security.

Evaluate insider threat risks through data analysis.

Provide full-time research opportunities in economics.

Offer mentorship from Anthropic researchers.

Collaborate with traders to improve trading models.

Design and implement quantitative methods for analysis.

Ensure data accuracy and reliability.

Collaborate with stakeholders on data issues.

Find new audio data sources.

Enhance ingestion infrastructure using GCP.

Support design and development of Generative AI solutions.

Implement core RAG pipelines for AI applications.

Analyze thermal loads on airframes.

Develop thermal management strategies.

Develop real-time software for satellite network.

Lead architecture and design reviews.

Design and test satellite hardware.

Collaborate with engineering teams.

Lead paid search strategy for key client.

Align search efforts with client objectives.

Architect and lead cloud-native security products.

Drive collaboration across engineering and product teams.

Lead the development of sensing systems.

Define and evaluate sensor performance targets.

Develop high-reliability electronics for satellites.

Collaborate with cross-functional teams.

Design ArcGIS strategies for customers.

Define business continuity for deployments.

Complete geometric calibration during commissioning.

Design calibration for multispectral imagery.

Develop secure agent runtimes and libraries.

Implement core agent patterns and secure systems.

Lead technical strategy for accounts

Serve as technical lead for Databricks products

Build automated response mechanisms for alerts.

Monitor and defend Upstart's product and infrastructure.

This role as a Delivery Solutions Architect offers a unique opportunity to lead innovative projects in high-tech manufacturing. You will be responsible for engaging with Solutions Architects to ensure successful use case implementation, managing key strategies for technical execution, and addressing critical go-live challenges. Join a dynamic team that values collaboration and offers flexible remote work options, alongside comprehensive benefits and career growth opportunities.

Lead technical execution strategies for strategic accounts.