Principal ML Engineer
$230k - $260kTypeface
About TypefaceWe help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You’ll Do As a Principal Machine Learning Engineer, you will operate at the company level—defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface. You will lead the design of large-scale ML systems and shared platforms that power all generative capabilities across agents, text, image, audio, and video. This role requires a strong combination of deep technical expertise, product intuition, and the ability to influence teams and leadership. How You'll Make an ImpactDefine and drive the long-term technical vision for generative AI across Typeface’s product ecosystem Lead architecture and design of scalable ML platforms (training, evaluation, inference, safety) used across multiple teams Drive company-level ML strategy, aligning technical investments with product and business priorities Influence and partner with executive leadership, product, and design to shape high-impact initiatives Mentor senior engineers and raise the technical bar across the ML organization Architect and lead development of large-scale generative AI systems powering agentic orchestration and multimodal content generation Define and evolve shared ML infrastructure and platforms for training, fine-tuning, evaluation, and serving Drive cross-team initiatives spanning multiple ML systems and product areas Establish best practices for ML system evaluation, safety, reliability, and performance at scale Identify and incubate 01 opportunities in generative AI with high business impact Make high-leverage technical decisions that unlock velocity across teams Mentor and guide engineers across levels, influencing design and execution beyond your immediate team What You Bring15+ years of experience building and scaling machine learning systems, with demonstrated impact at the Principal level Master’s or PhD degree in Computer Science or a related fieldProven track record of driving multi-team or company-level technical strategy Experience leading large, ambiguous, high-impact initiatives (platforms and/or 01 systems) Deep expertise in ML systems and infrastructure, including training, evaluation, and inference at scale Strong background in Generative AI / LLMs / multimodal systems Demonstrated ability to influence senior leadership and align cross-functional stakeholders Track record of mentoring senior engineers and elevating engineering excellence Proficiency in Python and systems-level programming (C/C++ or equivalent) Bonus: Experience building ML platforms used across multiple products or teams Bonus:Prior role as a Staff+ / Principal / Senior Staff engineer at a leading AI or technology company Bonus: Contributions to the field (publications, patents, open-source, or widely adopted systems) Bonus: Experience in enterprise SaaS or high-growth startup environments LocationThis is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base SalaryThe base salary range for this role is $230,000-$260,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. BenefitsCompetitive compensation — including salary, equity, and 401(k)Full medical, dental, and vision insurance for you and your familyHSA and FSA options to support your financial wellnessFlexible time off — including parental leaveWell-being programs — resources to support your mental and physical healthDaily lunch & snacksMentorship & impact — work closely with top AI leaders on products that ship Equality Opportunity StatementWe welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.Why You’ll Love Working Here Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies.Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
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Sr. Machine Learning Engineer/ Principal Machine Learning Engineer, Performance DSP Location: Redwood City, California, United States (Hybrid... ...goals. Optimize attribution tracking, user value modelling, and ML-driven performance enhancements to maximize campaign impact....Work at officeRemote work$314.58k
...for:Degree in Computer Science, Machine Learning, Statistics or related field.10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.Strong software engineering and mathematical skills with knowledge of statistical methods...Temporary workWork at officeLocal areaRelocationRelocation package- Overview As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training... ...model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, ensuring AI's...Local areaRemote work
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...see, and we think that visibility is the foundation for a new layer of value across the platform. About the role We're hiring a ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure...Full timeRemote workWork from homeHome officeVisa sponsorshipShift work- Job Title: ML Engineer What You Will Own End‑to‑End ML Lifecycle across real products: data ingestion, feature design, model selection, training, deployment, monitoring and iteration. No handoffs. Production‑grade ML systems built with PyTorch or TensorFlow, focusing...
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...ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where... ...Kubernetes, Apache Airflow) for managing automated, production-grade ML pipelines. Software Engineering Excellence: Mastery of Python...- ...& Responsibilities Design, build, and deploy production‑grade ML systems with end‑to‑end ownership of the model lifecycle from conception... ...a related field. 1-6 years of professional experience in ML engineering. Strong programming skills in Python (TypeScript experience is...Full time
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