For example, you might:

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;
• Practical experience conducting technical research collaboratively;
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;
• A track record of published research in machine learning, particularly in generative AI;
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

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Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

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You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will have proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems, including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

Key responsibilities will include stabilizing and optimizing existing Oracle Fusion ERP integrations, architecting and building new enterprise integrations using Oracle Integration Cloud, owning the integration lifecycle, ensuring data integrity, collaborating and influencing with cross-functional teams, and leveraging modern Oracle Cloud tools.

The ideal candidate will have excellent SQL skills, a strong command of XSLT, XPath, and complex data mapping, demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services, and experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems, the successful candidate will be highly motivated, with a passion for delivering high-quality solutions and a commitment to continuous learning and improvement.

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will be responsible for stabilizing, optimizing, and making our existing Oracle Fusion ERP integrations exceptionally robust. Long-term, they will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape.

Key responsibilities include:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC).
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams.

The ideal candidate will have a strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads. They will also have excellent SQL skills and a solid understanding of relational database concepts.

In addition to the required qualifications, preferred qualifications include hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions, experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP, and experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.

US Salary Range $126,000-$167,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

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Key responsibilities include:

Training and certifying team members on production processes and company policies. Ensuring safety, quality, and production standards are met. Coordinating manpower to optimize production flow. Acting as a backup to the production supervisor when needed. Collaborating with the team to identify areas for improvement in the production process. Implementing strategies to enhance efficiency, reduce waste, and maintain production targets.

The ideal candidate will have proven experience in a production or manufacturing environment, strong leadership and team management skills, excellent communication and training abilities, and understanding of safety regulations, quality control, and production processes.

Physical demands include the ability to perform physically demanding work for extended periods of time, frequently and repetitively lifting, pushing, and carrying up to 20 lbs, and standing and walking for up to 12 hours/day.

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