Top AI Machine Learning Engineer Jobs Openings in 2025

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Your impact At Handshake, Machine Learning is at the heart of our mission to democratize access to opportunity. Every student deserves to be seen, not just by any employer, but by the right one. In a three-sided marketplace spanning students, employers, and educators, machine learning is how we personalize discovery, match intent with opportunity, and drive better outcomes at scale.As Director of Engineering for Machine Learning, you’ll lead the team responsible for shaping our marketplace’s intelligence and delivering experiences that feel intuitive, relevant, and uniquely valuable to each user. This is a critical leadership role with wide-ranging impact, overseeing the technical vision, organizational health, and cross-functional partnership required to build the future of AI at Handshake.From rethinking how students are matched to jobs, to optimizing employer pipelines, to evolving our ML platforms for the AI economy, you’ll be at the helm of both strategic innovation and deep execution. It’s an opportunity to lead during a time of transformation, rebuild and grow a high-potential team, and ensure our AI efforts serve real human outcomes.Your roleDefine and drive the ML strategy that powers relevance, personalization, and marketplace efficiency across all sides of Handshake’s platform. Lead and coach an organization of ML Engineers and Software Engineers, including Staff Engineers and Engineering Managers, through a period of rebuilding and growth. Partner closely with Product, Data Science, and Design to identify high-leverage opportunities to embed intelligence into user experiences. Establish and scale best-in-class ML development practices from experimentation and evaluation to deployment and monitoring. Champion a healthy, resilient engineering culture rooted in mentorship, technical excellence, and a clear sense of purpose. Bring an opinionated lens to the role of Gen AI and Agentic Experiences in the future of talent and help Handshake build toward it with integrity and ambition.Your experience Deep expertise in applied machine learning and AI, ideally in multi-sided marketplaces or recommendation systems. Proven leadership experience managing engineering teams at scale, including people managers and senior ICs. A track record of shipping impactful ML/AI products and platforms, with clear metrics and end-user impact. A strong coaching mindset and the ability to rebuild, scale, and energize high-performing teams through change. Product and strategic intuition: you know when to go deep, when to pivot, and how to connect technical work to business and user outcomes. Exceptional communication and collaboration skills—you bring clarity and energy across cross-functional teams. A commitment to diversity, equity, and inclusion, and a belief in building teams where every engineer can thrive.Bonus areas of expertise Familiarity with foundational models, vector search, or retrieval-augmented generation (RAG) techniques. Experience operating in regulated or international markets with complex user dynamics.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the Role We are looking for a Senior Machine Learning Scientist to join the Enterprise Solution Science Team. Our team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will be responsible for end-to-end development, from problem definition to driving model deployment into production.   What You’ll Work On Work on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization. Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage. Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability. Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment. Stay up to date with the latest research and proactively propose innovative applications. Mentor junior scientists and help evolve team developing culture and standards.   What We’re Looking For (Minimum) Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. 3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation. Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow. Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development. Experience in cross-functional collaboration and leading industry projects. Strong sense of impact, with excellent analytical and problem-solving skills, and a passion for new technologies. Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.   What We’re Looking For (Preferred) Industry experience in the MarTech domain, with a strong passion for building customer-centric products.     #LI-AK1

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role We are looking for a Machine Learning Engineer Intern to join the Enterprise Solution Science Team. This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems. We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications. [ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]   What You’ll Work On   Assist in operating robust ML job execution frameworks for training, inference, and post-processing. Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform). Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana. Create internal tools and services to simplify ML experimentation and production workflows. Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features     What We’re Looking For [Minimum qualifications]   Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred) 2+ years of experience in ML or engineering Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms   [Preferred qualifications]   Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies. Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity Understanding of core ML and deep learning concepts Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine. Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)      

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Why SalesApe?Join SalesApe, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs. We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved. With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction. If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesApe Founder Elevator Pitch on our Mission and Purpose: As we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers." "And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy." "For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete." "This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team." "For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants." "This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of."Role OverviewAt SalesAPE.ai, we’re seeking a driven AI Agent Intern to work closely with our internal team. You’ll collaborate with key stakeholders across the business—from product engineers to the operations manager—to help us build, optimize, and refine our AI agent workflows and processes.We’re looking for someone who knows how to leverage AI to get stuff done and loves working at a high tempo. If you’re a self-managing, growth-oriented problem solver who thrives in fast-paced environments, we’d love to hear from you.Key ResponsibilitiesAs our AI Agent Intern, you will:Configure and optimize AI agents: Support the internal team in setting up and training AI SDRs, ensuring they’re high-performing and aligned with company goals.Collaborate across teams: Work closely with engineers, product managers, and operations to iterate on our AI agent systems and workflows.Develop best practices: Contribute to building internal documentation and guidelines for prompt engineering and workflow improvements.Quality assurance: Oversee QA, testing, and launch processes for new AI agents, monitoring performance and identifying areas for refinement.Internal support: Help troubleshoot issues and support team members using AI agents in their daily workflows.Drive continuous improvement: Gather feedback and proactively suggest ways to enhance the use of AI within the business.What We’re Looking ForA background or degree in a logical, solution-focused discipline (Maths, Computer Science, Product Development, Mechanical Engineering, or similar).A self-directed, growth-oriented mindset and the ability to learn quickly.A history of self-learning through books, courses, or similar resources.A track record of working collaboratively and delivering high-quality work.Strong digital communication skills and comfort using online tools for internal collaboration.Join UsWant to play a pivotal role in shaping how we use AI to transform our business? Apply now and help us unlock the full potential of AI at SalesAPE.ai!

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📐 About this role  Writer is seeking a highly skilled and motivated Principal performance engineer to lead the performance optimization of our cutting-edge Generative AI technology stack. This role is critical in ensuring the scalability, efficiency, and reliability of our Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems. You will be a key driver in identifying and resolving performance bottlenecks, optimizing resource utilization, and ensuring a seamless user experience. You will work closely with our AI research, software engineering, and infrastructure teams to deliver world-class AI solutions. 🦸🏻‍♀️ Your responsibilities Performance leadership:Define and implement performance engineering strategies for our Generative AI full stack, including services, application, LLMs, RAG pipelines, and related infrastructure.Lead performance testing, profiling, and analysis efforts to identify and resolve performance bottlenecks.Establish and maintain performance benchmarks and SLAs for critical AI services.Provide technical leadership and mentorship to performance engineering team members.LLM capacity and tuning:Analyze and improve LLM inference performance, including latency, throughput, and resource utilization.Develop and implement strategies for LLM capacity planning and scaling.Collaborate with AI researchers to evaluate and improve LLM model architectures and training techniques for performance.Optimize LLM inference through techniques such as quantization, distillation, and optimized kernel implementation.RAG performance optimization:Design and implement performance tests for RAG pipelines, including retrieval, ranking, and generation components.Identify and optimize performance bottlenecks in RAG systems, such as database queries, vector search, and document processing.Evaluate and optimize RAG system architectures for scalability and efficiency.Tune vector databases for optimal recall and latency.Infrastructure optimization:Collaborate with infrastructure teams to optimize hardware and software configurations for AI workloads.Evaluate and recommend new technologies and tools for performance monitoring and analysis.Develop and maintain performance dashboards and reports to track key metrics.Optimize GPU utilization and memory management for LLM inference.Collaboration and communication:Work closely with AI researchers, software engineers, and product managers to ensure performance requirements are met.Communicate performance findings and recommendations to stakeholders at all levels.Stay up-to-date with the latest developments in Generative AI and performance engineering.⭐️ Is this you?Education:Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).Experience:10+ years of experience in performance engineering, with a focus on large-scale distributed systems.2+ years of experience working with AI/ML technologiesProven experience in performance testing, profiling, and analysis of complex software systems.Deep understanding of NLP architectures, training, and inference.Experience with vector databases and search technologies.Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Strong programming skills in python.Familiarity with Postgres and ElasticsearchExperience with performance analysis tools (e.g., profilers, debuggers, monitoring tools).Skills:Strong analytical and problem-solving skills.Excellent communication and collaboration skills.Ability to work in a fast-paced and dynamic environment.  Passion for AI and a desire to push the boundaries of performance engineering#LI-Remote 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWriter is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.The Machine Learning team empowers enterprise customers and developers on Replicant’s platform to help create delightful conversations that provide fast and effective resolutions to their clients through contact center automation.  We define and build the next generation of bot building paradigms for complex enterprise customer service and contact center automation scenarios. You will be part of a cross-functional group of engineers that are applying the latest research in Generative AI and NLP - including LLMs and other advancements in research into our core product lines.  What you'll doLeading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growthActively engaging in all aspects of development, from ideation and experimentation to implementation and deploymentCollaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goalsWhat you'll bring5+ years of software development experience in ML infra, ML tooling, or products with ML usagePreferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search)Excellent communication skills and a vivid imaginationPassion about engineering and team cultureYou love tackling ambiguous technical problems and developing solutions to problems with significant impactYou are an independent thinker and like to own and solve complex problemsYou are interested in exploring the nuance and aesthetic of conversations#LI-RemoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Somite.ai is a venture-backed company transforming stem cell biology with AI.  We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million.  Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZAbout the Role:As a Machine Learning Engineer - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. Working closely with other machine learning researchers and computational biologists, you’ll design cutting-edge AI solutions, contribute to pioneering research, and help build the core infrastructure driving Somite’s cell-replacement therapy platform. This role is ideal for someone passionate about applying machine learning to solve complex biological challenges.Responsibilities:●       Drive the development of machine learning models for biological data, from research and prototyping to production deployment●       Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data●       Build scalable, distributed pipelines for training and inference across trillion-token biological datasets●       Collaborate closely with computational biologists to ensure models produce biologically meaningful, interpretable outputs, engaging deeply with biological questions and research●       Design and implement novel deep learning architectures, including transformer-based models tailored to biological dataQualifications:●       7+ years of experience in machine learning, deep learning, and large-scale data analysis, preferably in biological applications.●       Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or a related field.●       Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.●       Proven experience building and optimizing large-scale models, including transformer-based architectures.●       Demonstrated track record of independent research and end-to-end model development, from prototyping to production.●       Passion for AI-driven biology and its potential to transform healthcare.Preferred Qualifications:●       Strongly preferred: extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data●       Strongly preferred: 3+ years of professional software engineering experience in an industry setting.●       Experience with reinforcement learning techniques such as RLHF, PPO.●       Experience in startups or fast-paced environments, with a self-directed, proactive work style.Click the following link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZBenefits:●       Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.●       Work alongside a talented and passionate team at the forefront of AI and cellular biology.●       Contribute to the development of groundbreaking therapies that address significant unmet medical needs.●       Enjoy a competitive salary and benefits package, including flexible work options.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help unlock the full potential of AI for the benefit of human health!

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs an Applied AI Research Engineer at Norm Ai, you will take a methodical and holistic approach to increasing the coverage and capabilities of our automation platform. You will collaborate closely with and act as a bridge between our software engineering, legal engineering, and product teams to design and refine our AI-driven compliance solutions.You Will:Design and build AI-powered, enterprise-grade software to meet rapidly increasing demands.Regularly contribute performant and high-quality code to our production codebase that conforms to the high standards of our software engineering team. Autonomously prioritize between development velocity and long-term robustness of proposed solutions, always with a ruthless propensity for action.Run experiments with new LLM techniques and technologies across our AI infrastructure, content processing, and regulatory workflows.Write prompts, iterate on them, and design systems for continuous improvement.Develop regulatory expertise that can be used as part of our LLM workflows.Skills & Experience - Core4+ years of experience as a Software Engineer, ML engineer, or Data Scientist.Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis.Willingness to work with frontend technologies (Typescript, react, etc) when required.Experience in AI/ML infrastructure and tooling.Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals.Strong reading and writing skills.Strong quantitative skills that can enable a data-driven approach to problem solving.Skills & Experience - PlusesExperience deriving insights from PDFs and/or other unstructured or semi-structured data typesFamiliarity with the latest research in LLMs and an eagerness to adopt new model capabilities as they become availableBackground working on complex compliance or regulatory systems.What Success Looks Like - 30 DaysNorm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing codebase, architecture, and the unique challenges of our AI-driven compliance solutions. Within the first two weeks, we expect meaningful contributions to our production codebases.AI Engineering: Rapidly familiarize yourself with the data flows in Norm Ai’s compliance systems and enhance the accuracy or robustness of one of our core modules.Domain Expertise: Develop familiarity with the underlying regulations with which Norm works.What Success Looks Like - 60 DaysNorm Ai Integration: Successfully optimize, implement, and deploy significant features that improve the accuracy and coverage of our automation platform.AI Engineering: Effectively lead large-scale improvements to our AI system, including runtime optimizations and accuracy improvements.Domain Expertise: Leverage regulatory expertise to effectively collaborate with the legal engineers and improve new and existing LLM workflows$200,000 - $250,000 a yearThe range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with the maximum legally permitted employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week. If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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We're hiring AI engineers to build the systems that make Create intelligent. Often that involves staring down ambiguous research problems. And shipping clever ways of solving them. Sample projects include:Prompt engineering, fine tuning, and/or training models for codegen to better match user intent Creating retrieval models to augment code understanding or design quality Inventing techniques for Create's AI agent to autonomously solve compile or run time errors Designing new agent flows to dramatically increase reliability Your background looks something like:4+ years of production experience with Typescript as a full stack engineer or applied researcherIf you've personally built something people use, YOE is irrelevant You've built a product people love on your own or on a team Deep curiosity about the latest AI research and applications and a knack for turning them into realityStrong prompt intuition and ability to debug AI behavior like a system Don't comprise between going deep and shipping fast. Excited to work in person with the team 5 days / week in San Francisco You've used Create and have strong opinions on what to build next We pay extra attention if you have:Prior experience as a founder or founding eng Strong product, design, or AI taste Strong production experience with LLMsFamiliarity with AI dev tools

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