Menlo Ventures
Senior+ Software Engineer, Research Tools
Menlo Ventures, San Francisco, California, United States, 94199
Senior+ Software Engineer, Research Tools
About Anthropic
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.
About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full‑stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full‑stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real‑world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full‑stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user‑facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non‑technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open‑source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform‑as‑a‑service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human‑computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI‑generated code
The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
$300,000 - $405,000 USD
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. If we make you an offer, we will make every reasonable effort to get you a visa.
We encourage you to apply even if you do not believe you meet every single qualification.
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. We value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than working on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We are an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest‑impact work at any given time. As such, we greatly value communication skills.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
We believe that AI will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”
As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr
About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full‑stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full‑stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real‑world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full‑stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user‑facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non‑technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open‑source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform‑as‑a‑service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human‑computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI‑generated code
The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
$300,000 - $405,000 USD
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. If we make you an offer, we will make every reasonable effort to get you a visa.
We encourage you to apply even if you do not believe you meet every single qualification.
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. We value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than working on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We are an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest‑impact work at any given time. As such, we greatly value communication skills.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
We believe that AI will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”
As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr