As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
Locations (2)
Northeast, United States
Southeast, United States
Compensation
Zone 1 Pay Range: $182,000—$250,208 USD; Zone 2 Pay Range: $182,000—$250,208 USD; Zone 3 Pay Range: $182,000—$250,208 USD; Zone 4 Pay Range: $182,000—$250,208 USD
Responsibilities
Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications
Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation, and adoption of Databricks
Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
Conduct technical evaluations of battery energy storage technologies, from lithium-ion cells to modules and systems, including test plan design, data analysis, and supplier engagement.
Locations (4)
Irvine, California, United States
Sunnyvale, California, United States
Boston, Massachusetts, United States
Seattle, Washington, United States
Compensation
USA, CA, Irvine - 136,000.00 - 184,000.00 USD annually. USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually. USA, MA, Boston - 136,000.00 - 184,000.00 USD annually. USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
Responsibilities
Conduct technical evaluations of battery energy storage technologies, starting with lithium-ion cells and extending to modules, systems and related components
Leading computer vision and video manipulation work using LLMs, VLMs, and traditional techniques to improve creator content and viewer engagement.
Compensation
183,800.00 - 248,700.00 USD annually
Responsibilities
Design and deploy computer vision and video manipulation models using LLMs, VLMs, and traditional techniques, taking solutions from research prototype to production.
Partner with senior Product and Twitch leadership to translate customer needs into well-defined scientific problems and deliver end-to-end solutions.
Evaluate and integrate generative AI capabilities across Amazon Bedrock and third-party platforms, selecting the approach that maximizes product quality.
Drive the team's scientific agenda by proposing new initiatives, authoring technical documents, and contributing to external publications.
Mentor fellow scientists and engineers through code reviews, design guidance, and technical assessments that raise the overall quality bar.
Responsible for hardware testing, test campaign management, and automation of test operations for defense systems.
Compensation
$86,000—$149,000 USD
Responsibilities
Execute structural, dynamic, and environmental testing on drones, missiles and spaceflight hardware
Lead test campaigns including test plan creation, system activation, test operations, data review, and equipment design/fabrication
Generate work instructions to direct technicians in fabrication and integration of test articles and equipment
Operate and troubleshoot data acquisition and control systems, wiring, instrumentation, thermal chambers, electrodynamics shakers, and fluid power systems
Automate repetitive test operations to improve efficiency and safety
Requirements
BS, MS or PhD in an engineering discipline
Nice to have: hazardous or pressurized systems knowledge
Nice to have: instrumentation and control components familiarity
Nice to have: MIL-STD-810, SMC-S-016, NASA GEVS familiarity
Lead application security for AI features and agentic systems at BambooHR, setting standards, conducting reviews, and driving security integration across the platform.
Responsibilities
Lead security reviews and threat models of AI features and agentic systems
Set security standards for AI agents
Own design of agents for validation and remediation
Help developers build and use agents safely
Embed security requirements into SDLC
Requirements
Bachelor's degree in Computer Science, Information Security, or a related field
Train, validate and ship predictive models that power our molecular design platform, working with chemists, biologists and engineers.
Compensation
The salary range for this role is $132,000 - $258,500.
Responsibilities
Train and maintain ML models for ADMET and developability endpoints such as solubility, permeability, metabolic stability, toxicity and aggregation risk.
Build potency and binding models (QSAR, ligand- and structure-based) to rank and prioritize molecules against targets.
Design test plans and protocols covering performance, cycle and calendar ageing, thermal characterisation and abuse/safety testing
Coordinate the technical aspects of sample sourcing
Process and analyse test data (capacity fade, resistance growth, efficiency, thermal behaviour) and build repeatable analysis pipelines and lifetime models
Support supplier and partner engagements by contributing technical expertise in deep-dive sessions, factory visits, and quality assessments
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