As a Senior Database Engineer, you will collaborate across PLM Application, Infrastructure, and Integration teams to improve database performance, reliability, and scalability. You will ensure the database architecture is performant, highly available, and observable as the platform scales.

Key responsibilities include:

Supporting MS SQL Server and PostgreSQL database solutions for Teamcenter PLM and adjacent platform services across development, test, and production environments; Performing day-to-day DBA responsibilities including database provisioning, user and role management, access control, capacity planning, patching, and health monitoring across both MS SQL Server and PostgreSQL environments; Developing and implementing database migration strategies for Teamcenter upgrades, PostgreSQL adoption initiatives, and performance optimization as the platform scales to support additional product lines and integrations; Designing and optimizing database schemas, stored procedures, functions, and queries across MS SQL Server and PostgreSQL, ensuring consistency and performance across both platforms; Establishing best practices for MS SQL Server and PostgreSQL administration, backup/recovery, replication, and high availability in the context of Teamcenter's data model and enterprise integrations.

A day in the life includes analyzing query performance metrics, designing schema improvements to enhance system reliability, or working with application teams to troubleshoot database connectivity issues. You'll participate in infrastructure planning sessions, mentor colleagues on database best practices, and contribute to documentation that helps the broader organization understand our database strategy.

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Your key responsibilities will include:

Identifying top researchers and labs within academic and scientific research institutions specializing in AI applied to Chemistry and Material Science.

Leading strategic relationships with opinion leaders and researchers.

Defining NVIDIA's strategy for engaging developers in university and research environments by working with cross-functional teams: Product, Engineering, Marketing, Applied Research, etc.

Evangelizing and directly engaging target collaborators on building teaching kits.

Hosting developer and customer evangelism events: meetups, hackathons, lectures.

Speaking at relevant scientific, technical, and industry conferences.

We need to see:

A PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience.

6+ years of experience in one or more of higher education for machine learning interatomic potentials, generative modeling, and quantum chemistry workflows,

Demonstrated knowledge of the research ecosystem landscape related to AI applications in chemical and materials research.

Outstanding communication abilities with proven experience in conveying a value proposition to both technical and non-technical audiences.

To stand out from the crowd, you should have:

High-impact publications in artificial intelligence applications for chemistry, molecular modeling, or materials discovery.

Experience with CUDA, parallel programming, or performance-focused software development.

Contributions to open-source software for simulation, chemistry, or materials science.

Experience managing technical and business alliances across multiple partner groups and the peer team(s)

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Forge turns cutting-edge research into enterprise-ready capabilities by powering model fine-tuning, reinforcement learning and post-training workflows. By working at the intersection of research and product it provides customers with the tools to train specialized models that deliver real-world business value.

As the PM leading Forge you will shape a 0-1 product with significant business impact and the potential to grow offering while defining how organizations train and deploy the next generation of AI models.

Key Responsibilities:

Define the Future • Set the vision: Shape and evangelize a compelling product strategy for Forge ensuring alignment with company goals and market opportunities.

Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends in SOTA AI post-training capabilities.

Build & Ship • Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration,balancing speed, quality, and user delight.

Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.

Scale, Execute, & Enable • Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.

Align stakeholders: Rally engineering, design, and business teams around priorities, trade-offs, and timelines.

Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

Requirements:

Product Management Experience 5+ years of relevant experience in new, competitive, fast-paced and ambiguous environments with a track record of building and scaling complex AI/ML or infrastructure solutions.

Technical skills - Very good understanding of training pipelines, RL loops, and model deployment architectures,

Expertise in AI model lifecycle management, including fine-tuning, evaluation, and serving.

Experience with Infrastructure as Code (IaC), containerization, and scalable deployment modes (e.g., on-prem, VPC, cloud).

Familiarity with Kubernetes/Slurm is a strong plus.

User obsession Relentless focus on solving real user problems, backed by data and qualitative insights.

Cross-functional influence Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.

Problem-solving Balance big-picture thinking with hands-on problem-solving , you’re equally comfortable crafting a roadmap, diving into metrics and running technical tests.

Communication: Crisp, persuasive storytelling for executives, teams, and users , ability to distill complex technical concepts (e.g., RL, LoRA, SFT) into clear narratives for docs, decks, and workshops.

Adaptability: Thrive in high-velocity, dynamic settings where priorities shift quickly.

Collaboration: Low ego + high EQ , you build trust and drive decisions through clarity, not hierarchy.

Autonomy: Self-directed with a bias for action, you own outcomes end-to-end.

Preferred Qualifications:

Infrastructure knowledge - Strong knowledge of model training, model architectures, etc.

Strong understanding how complex architectures are designed and impact of deployment modes

Proficient coding skills are strongly recommended

Kubernetes know-how strongly recommended

Growth mindset: Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.).

Builder’s mindset: Founder or early-stage PM experience , you’ve turned 0 → 1 ideas into products users love.

Technical depth: Ability to prototype, hack, or dive into code when needed.

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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.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyse scientific experiments to advance our understanding of large language models

• Optimise and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

• Familiarity with large-scale machine learning, particularly in the context of language models

• Ability to balance research goals with practical engineering constraints

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems

• Familiarity with GPUs, Kubernetes, and OS internals

• Experience with language modelling using transformer architectures

• Knowledge of reinforcement learning techniques

• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience

• Are results-oriented with a bias towards flexibility and impact

• Willingly take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects

• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research

• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximise the impact of your insights

• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimising the throughput of novel attention mechanisms

• Comparing compute efficiency of different Transformer variants

• Preparing large-scale datasets for efficient model consumption

• Scaling distributed training jobs to thousands of GPUs

• Designing fault tolerance strategies for our training infrastructure

• Creating interactive visualisations of model internals, such as attention patterns

Benefits:

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

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 https://job-boards.greenhouse.io.

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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.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyse scientific experiments to advance our understanding of large language models
• Optimise and scale our training infrastructure to improve efficiency and reliability
• Develop and improve dev tooling to enhance team productivity
• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Strong software engineering skills with a proven track record of building complex systems
• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
• Familiarity with large-scale machine learning, particularly in the context of language models
• Ability to balance research goals with practical engineering constraints
• Strong problem-solving skills and a results-oriented mindset
• Excellent communication skills and ability to work in a collaborative environment
• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems
• Familiarity with GPUs, Kubernetes, and OS internals
• Experience with language modelling using transformer architectures
• Knowledge of reinforcement learning techniques
• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience
• Are results-oriented with a bias towards flexibility and impact
• Willingly take on tasks outside your job description to support the team
• Enjoy pair programming and collaborative work
• Are eager to learn more about machine learning research
• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects
• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximise the impact of your insights
• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimising the throughput of novel attention mechanisms
• Comparing compute efficiency of different Transformer variants
• Preparing large-scale datasets for efficient model consumption
• Scaling distributed training jobs to thousands of GPUs
• Designing fault tolerance strategies for our training infrastructure
• Creating interactive visualisations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

If you're excited about pushing the boundaries of AI while prioritising safety and ethics, we want to hear from you!

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$350,000 - $850,000USD

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Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their Zürich office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their Zürich office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Experience and/or in-depth understandings about large-scale distributed systems
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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