Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models.

If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

Key Responsibilities:

• Build, profile and optimize our training and inference framework.
• Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements.
• Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts.

Ideal Candidate:

• At least 1-3 years of LLM training in a production environment.
• Passionate about system optimization.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster.
• Experience with multi-node LLM training and inference.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment.
• PhD or Masters in Computer Science or a related field.

Compensation:

We offer competitive compensation packages, including 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.

Benefits:

• Comprehensive health, dental and vision coverage.
• Retirement benefits.
• A learning and development stipend.
• Generous PTO.
• Commuter stipend.

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Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

At Scale, we're uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

Responsibilities:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideal Candidate:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to Have:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation Packages:

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.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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As the Air Dominance and Strike (AD&S) Chief Engineering Team is a driving force behind the technical execution and strategic vision of our most critical programs. They are responsible for architecting a vision for product development and guiding multi-disciplinary teams to deliver effectively. They are expected to own the mission and to be deeply involved in building the eco-system that enables execution.

The ideal candidate will leverage their experience executing and successfully completing prior highly optimized multi-disciplinary projects. They should have a deep understanding of unmanned aircraft at and above Group 3 class, experience in a senior role leading air vehicle programs from initial concept through test and delivery to customers, and experience driving strategic direction in competitive landscapes, solving complex system optimization challenges under tight constraints.

Key responsibilities include leading technical and programmatic execution of new and existing air vehicle systems design, fabrication, test, productization and sustainment, owning the technical and programmatic success of your programs, establishing technical and programmatic vision, assembling teams of internal and external subject matter experts, and communicating that vision to them.

Additionally, you will manage the detailed design of the system and subsystems including requirements development, sub-system trades and optimization, risk management etc. to ensure the appropriate consideration of design key performance parameters, schedule, costs and risks. You will also coordinate the fabrication of prototype and low-rate production articles and subsystem/system level test efforts, support remotely deployed operations of your systems, and work with senior leadership to ensure resource plans are adequate for work scope.

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Our team focuses primarily but not exclusively on speech, building advanced steerable systems spanning end-to-end conversational systems, speech and audio understanding models, and speech synthesis capabilities. The team works closely with many collaborators across pretraining, finetuning, reinforcement learning, production inference, and product to get advanced audio technologies from early research to high-impact real-world deployments.

Responsibilities:

• Develop and train audio models, including conversational speech-to-speech, speech translation, speech recognition, text-to-speech, diarization, codecs, and generative audio models
• Work across abstraction levels, from signal processing fundamentals to large-scale model training and inference optimization
• Collaborate with teams across the company to develop and deploy audio technologies
• Communicate clearly and effectively with colleagues and stakeholders

Strong candidates may also have experience with:

• Large language model pretraining and finetuning
• Training diffusion models for image and audio generation
• Reinforcement learning for large language models and diffusion models
• End-to-end system optimization, from performance benchmarking to kernel optimization
• GPUs, Kubernetes, PyTorch, or distributed training infrastructure

Representative projects:

• Training state-of-the-art neural audio codecs for 48 kHz stereo audio
• Developing novel algorithms for diffusion pretraining and reinforcement learning
• Scaling audio datasets to millions of hours of high-quality audio
• Creating robust evaluation methodologies for hard-to-measure qualities such as naturalness or expressiveness
• Studying training dynamics of mixed audio-text language models
• Optimizing latency and inference throughput for deployed streaming audio systems

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.

Responsibilities

• Design and implement robust robotics software using C++ and ROS/ROS2 framework
• Develop and maintain critical system components including state management, health monitoring, and diagnostic tools
• Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems
• Implement and maintain CAN bus communications and firmware update systems
• Configure and optimize container environments for various autonomous vehicle components
• Develop and maintain system provisioning and configuration management tools
• Implement performance profiling and optimization across the autonomous vehicle stack
• Create and maintain automated testing and validation frameworks for system integration
• Troubleshoot complex system issues across hardware, software, and network interfaces
• Collaborate with cross-functional teams to integrate perception, localization, and control systems

Requirements

• 5+ years of experience in robotics software development or system integration
• Strong proficiency in ROS/ROS2 and Ubuntu-based systems
• Extensive experience with real-time system performance optimization and CUDA programming
• Deep understanding of autonomous vehicle architecture and systems integration
• Strong background in electrical systems, CAN protocols, and firmware development
• Expertise in container technologies (Docker, Podman) and their underlying systems
• Experience with configuration management tools like Ansible
• Strong programming skills in C++, Python, and shell scripting
• Thorough understanding of networking principles and protocols
• Experience with high-performance computing and system optimization
• Strong debugging and problem-solving skills across hardware and software domains
• Excellent documentation and communication skills

Nice to Have

• Experience with fleet management systems or logistics software
• Experience with industrial automation or autonomous mobile robots
• Knowledge of Open-RMF middleware framework
• Experience with telematics data processing and analytics
• Familiarity with computer vision and machine learning deployment
• Experience with over-the-air (OTA) update systems
• Knowledge of safety-critical software development practices
• Experience with real-time operating systems
• Familiarity with automotive-grade software development
• Background in system safety and fault tolerance design
• Experience with simulation environments for autonomous systems testing
• Knowledge of DevOps practices and CI/CD pipelines

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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As a Senior Optical Applications Engineer at Synopsys, you will be a key member of our team responsible for providing technical support to customers, delivering customer training sessions, and collaborating with internal product development teams.

Your primary responsibilities will include:

• Applying advanced optical engineering expertise to provide pre-sale and technical support to customers, ensuring timely resolution of complex optical simulation challenges.
• Owning customer technical problems and proactively engaging with OEMs and Tier-1 suppliers to deliver comprehensive optical simulation solutions for automotive lighting, imaging optics, and sensor systems.
• Working closely with sales teams by interacting with customers to understand their challenges, formulating simulation workflows, and clearly articulating the value proposition of Synopsys optical simulation solutions.
• Supporting technical pre-sales activities including product demonstrations, proof-of-concept studies, and technical evaluations related to optical simulation workflows.
• Delivering customer training sessions, workshops, and professional services engagements related to optical simulation, automotive lighting design, and virtual prototyping.

In this role, you will have the opportunity to work with cutting-edge technology and collaborate with a talented team of optical engineering experts.

Key Requirements:

• MS in Physics, Optics, Photonics, Optomechanical Engineering, Optoelectronics, or related field (Bachelor’s in mechanical engineering or related discipline also acceptable).
• 3–8 years of professional experience in optical engineering, optical simulation, or automotive lighting development.
• Hands-on experience with optical simulation tools such as Speos, Zemax OpticStudio, or Lumerical.
• Strong understanding of non-imaging optics, illumination engineering, and imaging optics principles.
• Experience in automotive lighting system design, including headlamps, tail lamps, DRL, or signal lighting.
• Ability to interpret optical performance metrics such as luminance, illuminance, beam patterns, and lighting regulations.
• Experience with optical tolerancing, stray light analysis, and optical system optimization techniques.
• Strong written and verbal communication skills in English; ability to conduct presentations, demos, and technical workshops.
• Ability to manage multiple technical projects and collaborate with cross-functional teams across geographies.
• Ability to travel up to 30% of the time for customer meetings and technical engagements.

If you are a motivated and experienced optical engineer looking for a challenging role, please apply now!

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As our SAP S/4HANA Expert, you will be the technical and functional backbone of our SAP ecosystem, driving system configuration, integration, and optimization to support our Finance and Accounting teams.

Responsibilities

• System Configuration & Implementation: Configure and maintain SAP S/4HANA modules, with a focus on finance, revenue recognition, and business process alignment. Partner with Finance and Accounting teams to translate business needs into technical solutions. Develop functional specs, reports, interfaces, and enhancements to streamline finance operations.

• Build & Run Processes definition: Partner with Finance stakeholders to establish the governance to ensure a successful recurring delivery balancing priorities and technical challenges. Implement rituals and processes to foster a continuous improvement mindset around the SAP effort.

• Integration & Data Management: Lead the integration of SAP with key business systems (Kyriba, Pigment, Lago, Payflows, etc.), ensuring data consistency and process automation. Own data migration projects, guaranteeing data integrity and system reliability.

• Support, Maintenance & Optimization: Provide ongoing support, troubleshooting, and system maintenance. Continuously optimize SAP processes, adhering to best practices and compliance standards.

• Training & Documentation: Train end-users and create clear, actionable documentation for SAP processes and configurations.

Who you are

• Required Qualifications:

  • Strong knowledge of SAP S/4HANA, especially the FI-CO module, both in Project mode and in post go live organizations.
  • Solid understanding of accounting principles and their application in ERP systems.
  • Proven experience designing and implementing API-based integrations between SAP and other business systems.
  • Excellent communication skills: Ability to translate technical concepts for non-technical stakeholders and collaborate effectively across teams.

• Preferred Qualifications:

  • Experience with planning tools (e.g., Pigment, Kyriba, Lago, etc.).
  • Background in a fast-growing tech startup or SAP integration consulting firm.
  • Hands-on experience with data migration, system optimization, and end-user training.

What we offer

• Competitive cash salary and equity
• Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company
• Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership
• Transportation: Monthly contribution to a mobility pass via Betterway
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship
• Coaching: we offer BetterUp coaching on a voluntary basis

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

You may be a good fit if you:

• Have hands-on experience with training audio models, whether that's conversational speech-to-speech, speech translation, speech recognition, text-to-speech, diarization, codecs, or generative audio models
• Genuinely enjoy both research and engineering work, and you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are comfortable working across abstraction levels, from signal processing fundamentals to large-scale model training and inference optimization
• Have deep expertise with JAX, PyTorch, or large-scale distributed training, and can debug performance issues across the full stack
• Thrive in fast-moving environments where the most important problem might shift as we learn more about what works
• Communicate clearly and collaborate effectively; audio touches many parts of our systems, so you'll work closely with teams across the company
• Are passionate about building conversational AI that feels natural, steerable, and safe
• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly

Strong candidates may also have experience with:

• Large language model pretraining and finetuning
• Training diffusion models for image and audio generation
• Reinforcement learning for large language models and diffusion models
• End-to-end system optimization, from performance benchmarking to kernel optimization
• GPUs, Kubernetes, PyTorch, or distributed training infrastructure

Representative projects:

• Training state-of-the art neural audio codecs for 48 kHz stereo audio
• Developing novel algorithms for diffusion pretraining and reinforcement learning
• Scaling audio datasets to millions of hours of high quality audio
• Creating robust evaluation methodologies for hard-to-measure qualities such as naturalness or expressiveness
• Studying training dynamics of mixed audio-text language models
• Optimizing latency and inference throughput for deployed streaming audio systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI systems that benefit society.

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