AI Engineer

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 mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science [https://www.anthropic.com/news/claude-science-ai-workbench] is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program [https://www.anthropic.com/news/ai-for-science-program] and our rare disease research grants [https://www.anthropic.com/news/rare-disease-research-grants]. WHAT YOU'LL DO * Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed * Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities * Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product * Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development YOU MAY BE A GOOD FIT IF YOU * Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level * Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on * Have built AI products and know what it takes to turn model capabilities into applications people actually use * Are comfortable working directly with technical domain experts and translating what you learn * Drive cross-team alignment to ship impactful work, with influence over authority STRONG CANDIDATES MAY ALSO HAVE * Background in chemistry, biology, physics, or another science * Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks 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: $405,000—$485,000 USD LOGISTICS Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. 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. 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 [http://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 — 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. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. 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. Guidance on Candidates' AI Usage: Learn about our policy [https://www.anthropic.com/candidate-ai-guidance] for using AI in our application process.

Location: San Francisco, CA (Hybrid) What is Verse?  The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems. You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization. This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions. Key Responsibilities * Lead End-to-End Optimization Engineering: Lead the development of optimization solutions from mathematical formulation through production deployment. Translate business requirements into scalable optimization models and implement them as robust, maintainable Python software. Design reusable optimization frameworks and services that integrate seamlessly into Verse's cloud platform and support long-term product development * Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models for scheduling, dispatch, planning, and operational decision-making, and improve solver performance through model reformulation, decomposition methods, warm starts, heuristics, and parameter tuning to ensure scalable, production-ready optimization solutions. * Energy Systems Modeling: Develop optimization models for electricity markets, battery energy storage systems, renewable energy assets, and other distributed energy resources. Translate market rules and operational constraints into mathematically rigorous optimization formulations. * Software Engineering & Productionization: Write clean, well-tested, and maintainable Python code following modern software engineering best practices. Contribute to architecture decisions, testing frameworks, CI/CD pipelines, and deployment of optimization services. * Cross-Functional Collaboration: Partner closely with product managers, software engineers, data scientists, and commercial stakeholders to understand business requirements and deliver optimization capabilities that integrate into customer-facing products. * Technical Leadership: Mentor junior engineers, establish best practices for optimization modeling and software development, conduct code reviews, and help shape the technical direction of Verse's optimization platform. What We're Looking For (Minimum Qualifications) * 5+ years of professional experience developing mathematical optimization models in production environments * Demonstrated experience independently leading complex optimization projects from formulation through deployment * Professional experience developing production software in Python * Experience deploying optimization models into scalable production systems * Professional experience in the energy industry is required * Experience with battery energy storage optimization is strongly preferred * Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative field. A bachelor's degree with significant relevant experience may also be considered. What Will Make You Stand Out (Preferred Qualifications) * Experience optimizing battery energy storage systems in wholesale electricity markets * Knowledge of market optimization problems involving ISO/RTO markets (CAISO, ERCOT, PJM, MISO, NYISO, ISO-NE, etc.) * Familiarity with stochastic optimization, robust optimization, or multi-stage optimization methods * Experience developing optimization services for real-time or operational decision support systems * Experience mentoring engineers or leading technical projects * PhD in Operations Research, Applied Mathematics, Industrial Engineering, or a related quantitative discipline What makes Verse a great place to work?  Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $150,000-$210,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks  * Competitive compensation and equity grant at a high-growth start up  * Comprehensive benefits package including medical, dental and vision insurance, and 401k  * Flexible hours and unlimited PTO  * Diverse and inclusive working environment  Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.