<div><div><b>Luma’s mission is to build multimodal AI to expand human imagination and capabilities. </b><span>We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.</span></div><div><span>We are looking for research engineer with extremely strong technical experience in training Generative AI models. You’ll be part of the research team, helping build our core multimodal foundation models and manage training runs across thousands of GPUs.</span></div>
<h3>Startup Mindset</h3><ul><li>Value<b>velocity</b>and execution.</li><li><b>Communicate clearly.</b></li><li><b>Focus</b>on building what will matter to users and the product.</li><li>Beresourceful at finding creative ways to overcome challenges.</li></ul><h3>Experience</h3><ul><li>Very strong demonstrated ability in Python and Pytorch.</li><li>Experience building ML models from scratch in Pytorch.</li><li>Academic or Professional experience with (and understanding of) generative multimodal models such as Diffusion Models and GANs, as well as deep learning concepts such as Transformers.</li><li>Good to have familiarity with Linux clusters, systems & scripting.</li><li>Good to have experience working with large distributed systems (>100 GPUs).</li></ul><h3>Benefits</h3><ul><li>Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.</li><li>Excellent salary and benefits.</li><li>Full health, dental, and vision coverage.</li><li>Latest and greatest gear.</li><li>Stipends towards wellness, house cleaner, and phone/internet.</li><li>Unlimited paid time off with 12 days minimum.</li><li>Unlimited sick days.</li></ul><h3>Why Join Luma AI?</h3><ul><li>You will get to work with the world best AI researchers, shipping their research to millions of users around the world</li><li>You will be equipped with all the tools, technologies, resources and AI tools you need to get the job done</li><li>We build. We ship. Your work will matter to people.</li><li>We are building a very widely usable product, and you’ll get to work on equally wide variety of challenging problems.</li><li>We have fantastic traction from early customers, whom you’ll get to work directly with.</li><li>We have backing of some of the best VCs in Silicon Valley, and Angels from across the industry.</li></ul><div><i>In addition to cash base pay, you'll also receive a sizable grant of Luma's equity.</i></div><div><i>The pay range for this position is for Bay Area. Base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience</i>.</div><div><i>Your application are reviewed by real people.</i></div></div>
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<p>You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. </p><p>You may be a good fit if you: </p><ul><li>Have significant software engineering experience </li><li>Are results-oriented, with a bias towards flexibility and impact </li><li>Pick up slack, even if it goes outside your job description </li><li>Enjoy pair programming (we love to pair!) </li><li>Want to learn more about machine learning research </li><li>Care about the societal impacts of your work </li> </ul><p>Strong candidates may also have experience with: </p><ul><li>High performance, large-scale ML systems </li><li>GPUs, Kubernetes, Pytorch, or OS internals </li><li>Language modeling with transformers </li><li>Reinforcement learning </li><li>Large-scale ETL </li> </ul><p>Representative projects: </p><ul><li>Optimizing the throughput of a new attention mechanism </li><li>Comparing the compute efficiency of two Transformer variants </li><li>Making a Wikipedia dataset in a format models can easily consume </li><li>Scaling a distributed training job to thousands of GPUs </li><li>Writing a design doc for fault tolerance strategies </li><li>Creating an interactive visualization of attention between tokens in a language model </li> </ul><p>Annual Salary: </p><ul><li>The expected salary range for this position is $280k - $520k USD. </li> </ul><p>Logistics </p><p>Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time. </p><p>US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this. </p><p>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. </p><p>Compensation and Benefits* </p><p>Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. </p><p>Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. </p><p>US Benefits - The following benefits are for our US-based employees: </p><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. </li><li>Comprehensive health, dental, and vision insurance for you and all your dependents. </li><li>401(k) plan with 4% matching. </li><li>21 weeks of paid parental leave. </li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! </li><li>Stipends for education, home office improvements, commuting, and wellness. </li><li>Fertility benefits via Carrot. </li><li>Daily lunches and snacks in our office. </li><li>Relocation support for those moving to the Bay Area. </li> </ul><p>UK Benefits - The following benefits are for our UK-based employees: </p><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. </li><li>Private health, dental, and vision insurance for you and your dependents. </li><li>Pension contribution (matching 4% of your salary). </li><li>21 weeks of paid parental leave. </li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! </li><li>Health cash plan. </li><li>Life insurance and income protection. </li><li>Daily lunches and snacks in our office. </li> </ul><p>How we're different </p><p>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 — rather than work 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're 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. </p><p>Come work with us! </p><p>Anthropic is a public benefit corporation based 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. </p>#J-18808-Ljbffr

<p>The Interpretability team at Anthropic is working to reverse-engineer how models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.</p><p>Few things can accelerate this progress more than great infrastructure. As a research engineer, you will build and maintain infrastructure used by the whole team, including yourself. You'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You’re motivated to understand our research so you can write code that accelerates it.</p><p>Our recent progress, presented in Towards Monosemanticity: Decomposing Language Models With Dictionary Learning, makes us believe that the main blocker to LLM interpretability, known as superposition, has transitioned from an open research question to primarily an engineering challenge. We’re interested in hiring for this role now more than ever because we believe strong candidates will significantly advance the state of the art in LLM interpretability.</p><p>Some of our team's notable publications include Towards Monosemanticity: Decomposing Language Models With Dictionary Learning, A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, and Toy Models of Superposition. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks.</p><p>About Anthropic</p><p>Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.</p><h3>Responsibilities:</h3><ul><li>Build infrastructure for running experiments and visualizing results</li><li>Design and run robust experiments, both quickly in toy scenarios and at scale in large models</li><li>Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights</li><li>Work with colleagues to communicate results internally and publicly</li></ul><h3>You may be a good fit if you:</h3><ul><li>Have significant software engineering experience</li><li>Are results-oriented, with a bias towards flexibility and impact</li><li>Pick up slack, even if it goes outside your job description</li><li>Enjoy pair programming (we love to pair!)</li><li>Want to learn more about interpretability research</li><li>Care about the societal impacts of your work</li></ul><h3>Strong candidates may also have experience with:</h3><ul><li>High performance, large-scale ML systems</li><li>GPUs, Kubernetes, Pytorch, or OS internals</li><li>Language modeling with transformers</li><li>Reinforcement learning</li><li>Large-scale ETL</li></ul><h3>Representative Projects:</h3><ul><li>Garcon - a tool which allows researchers to easily access LLMs internals from a jupyter notebook</li><li>ETL pipelines for collecting and analyzing LLM activations at large scale</li><li>Profiling and Optimizing ML Training, including parallelizing to many GPUs</li><li>Make launching ML experiments and manipulating+analyzing the results fast and easy</li><li>Writing a design doc for fault tolerance strategies</li><li>Creating an interactive visualization of attention between tokens in a language model</li></ul><p>Familiarity with python is required for this role.</p><h3>Annual Salary:</h3><p>The expected salary range for this position is $280k - $520k USD.</p><h3>Logistics</h3><p>Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.</p><p>Deadline to apply: We expect to be hiring for this role intermittently, but our plan is to hire a few people in the next 2-3 months, and then will likely slow hiring while the team settles. (This opportunity was originally posted early July.)</p><p>US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.</p><p>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.</p><h3>Compensation and Benefits*</h3><p>Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.</p><p>Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.</p><h3>US Benefits - The following benefits are for our US-based employees:</h3><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.</li><li>Comprehensive health, dental, and vision insurance for you and all your dependents.</li><li>401(k) plan with 4% matching.</li><li>21 weeks of paid parental leave.</li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!</li><li>Stipends for education, home office improvements, commuting, and wellness.</li><li>Fertility benefits via Carrot.</li><li>Daily lunches and snacks in our office.</li><li>Relocation support for those moving to the Bay Area.</li></ul><h3>UK Benefits - The following benefits are for our UK-based employees:</h3><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.</li><li>Private health, dental, and vision insurance for you and your dependents.</li><li>Pension contribution (matching 4% of your salary).</li><li>21 weeks of paid parental leave.</li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!</li><li>Health cash plan.</li><li>Life insurance and income protection.</li><li>Daily lunches and snacks in our office.</li></ul><p>This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.</p><p>How we're different</p><p>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 — rather than work 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're 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.</p>
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<p>We are looking for Research Engineers to build “gold standard” evaluations for catastrophic risks, in order to understand what AI Safety Level (ASL) to assign to models. This will have major implications for the way we train, deploy, and secure our models, as detailed in our Responsible Scaling Policy (RSP).</p><p>The policy defines a series of capability thresholds – AI Safety Levels (ASLs) – that represent increasing risks – crossing an ASL threshold would trigger a commitment to more stringent safety, security, and operational measures, intended to handle the increased level of risk.</p><p>Research Engineers will join a team that is focused on National Security threats – evaluating whether models increase the likelihood or consequence of Chemical, Biological, Radiological and Nuclear risks (CBRN) risks, and whether models make sophisticated offensive cyber capabilities available to unsophisticated actors.</p><p>Responsibilities:</p><ul><li>Research Engineers will be responsible for designing and running the evaluations needed to measure dangerous capabilities in models, and determine when we cross an ASL threshold.</li><li>You’ll work with world class experts in fields like biosecurity, autonomous replication, cybersecurity, and national security, and experiment with new evals, in order to measure how risky AI systems are.</li><li>Done well, this will inform decisions at the highest levels of the company.</li></ul><p>You may be a good fit if you:</p><ul><li>Have an ML-focused background and engineering and research skills (e.g. experience in Python).</li><li>Are driven to find solutions to ambiguously scoped problems.</li><li>Design and run experiments and iterate quickly to solve machine learning problems.</li><li>Thrive in a collaborative environment (we love pair programming!).</li><li>Have experience training, working with, and prompting models.</li></ul><p>For all workstreams, experience designing and building evaluations would be valuable, but is definitely not essential. For National Security threats workstreams, we will particularly value experience working on confidential or sensitive projects and demonstrated integrity, responsibility, and trustworthiness. We will also value domain specific knowledge, although it is not necessary. For ARA threats workstreams, we would value experience with language model agents, although this is not essential.</p><p>Sample Projects:</p><ul><li>CBRN risks – working with external experts in the field of biosecurity to design clear and repeatable CBRN evaluations, based on a summary of dangerous biological capabilities.</li><li>Cyber risks – working with external cyber experts to co-design a set of clear and repeatable cyber evaluations.</li><li>ARA risks – building infrastructure and tooling for testing for these capabilities, and iterating with external ARA experts to scope possible tasks.</li></ul><p>Annual Salary (USD)</p><ul><li>The expected salary range for this position is $280k - $520k.</li></ul><p>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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p><p>Compensation and Benefits*</p><p>Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.</p><p>US Benefits - The following benefits are for our US-based employees:</p><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.</li><li>Comprehensive health, dental, and vision insurance for you and all your dependents.</li><li>401(k) plan with 4% matching.</li><li>21 weeks of paid parental leave.</li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!</li><li>Stipends for education, home office improvements, commuting, and wellness.</li><li>Fertility benefits via Carrot.</li><li>Daily lunches and snacks in our office.</li><li>Relocation support for those moving to the Bay Area.</li></ul><p>UK Benefits - The following benefits are for our UK-based employees:</p><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.</li><li>Private health, dental, and vision insurance for you and your dependents.</li><li>Pension contribution (matching 4% of your salary).</li><li>21 weeks of paid parental leave.</li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!</li><li>Health cash plan.</li><li>Life insurance and income protection.</li><li>Daily lunches and snacks in our office.</li></ul><p>This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future.</p><p>How we're different</p><p>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 — rather than work 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're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.</p><p>Come work with us!</p><p>Anthropic is a public benefit corporation based 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.</p>
#J-18808-Ljbffr

<p>You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.</p><p>You may be a good fit if you:</p><ul><li>Have significant software engineering experience</li><li>Are results-oriented, with a bias towards flexibility and impact</li><li>Pick up slack, even if it goes outside your job description</li><li>Enjoy pair programming (we love to pair!)</li><li>Want to learn more about machine learning research</li><li>Care about the societal impacts of your work</li></ul><p>Strong candidates may also have experience with:</p><ul><li>High performance, large-scale ML systems</li><li>GPUs, Kubernetes, Pytorch, or OS internals</li><li>Language modeling with transformers</li><li>Reinforcement learning</li><li>Large-scale ETL</li></ul><p>Representative projects:</p><ul><li>Optimizing the throughput of a new attention mechanism</li><li>Comparing the compute efficiency of two Transformer variants</li><li>Making a Wikipedia dataset in a format models can easily consume</li><li>Scaling a distributed training job to thousands of GPUs</li><li>Writing a design doc for fault tolerance strategies</li><li>Creating an interactive visualization of attention between tokens in a language model</li></ul><p>Annual Salary:</p><ul><li>The expected salary range for this position is $280k - $520k USD.</li></ul><p>Logistics</p><p>Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.</p><p>US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.</p><p>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.</p><p>Compensation and Benefits*</p><p>Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.</p><p>Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.</p><p>US Benefits - The following benefits are for our US-based employees:</p><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.</li><li>Comprehensive health, dental, and vision insurance for you and all your dependents.</li><li>401(k) plan with 4% matching.</li><li>21 weeks of paid parental leave.</li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!</li><li>Stipends for education, home office improvements, commuting, and wellness.</li><li>Fertility benefits via Carrot.</li><li>Daily lunches and snacks in our office.</li><li>Relocation support for those moving to the Bay Area.</li></ul><p>UK Benefits - The following benefits are for our UK-based employees:</p><ul><li>Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.</li><li>Private health, dental, and vision insurance for you and your dependents.</li><li>Pension contribution (matching 4% of your salary).</li><li>21 weeks of paid parental leave.</li><li>Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!</li><li>Health cash plan.</li><li>Life insurance and income protection.</li><li>Daily lunches and snacks in our office.</li></ul><p>How we're different</p><p>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 — rather than work 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're 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.</p><p>Come work with us!</p><p>Anthropic is a public benefit corporation based 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.</p>
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