CrawlJobs Logo

Director, Enterprise Machine Learning & Research

scale.com Logo

Scale

Location Icon

Location:
United States , San Francisco, CA ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

289800.00 - 362250.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.

Job Responsibility:

  • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
  • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
  • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
  • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
  • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
  • Stay deeply connected to the research community, understanding major trends, and helping set them.
  • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Requirements:

  • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains
  • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
  • Experience and track of recording in landing major research impacts in a fast-paced environment
  • Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
  • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
  • Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners

Nice to have:

  • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments
  • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale
  • Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes
What we offer:
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Scale - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Director, Enterprise Machine Learning & Research

Sr Director- Reinforcement Learning

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...
Location
Location
United States
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate degree and 5 years of Artificial Intelligence/ Machine Learning experience
  • Master’s degree and 8 years of Artificial Intelligence/ Machine Learning experience
  • Bachelor’s degree and 10 years of Artificial Intelligence/ Machine Learning experience
  • PhD or equivalent experience in ML, RL, or related fields
  • 10+ years AI/ML
  • 5+ years reinforcement learning leadership
Job Responsibility
Job Responsibility
  • Define enterprise RL roadmaps, landmarks, and success metrics
  • drive early hands-on prototypes as the capability matures
  • Architect simulation environments, reward structures, and training loops for scientific and operational RL use cases
  • Lead algorithmic innovation and technical decisions across model-based RL, policy gradient methods, and actor-critic architectures
  • Advance RL for scientific domains such as protein design, docking, and structural modeling
  • expand RL beyond R&D into Manufacturing, Supply Chain, and Commercial applications
  • Oversee data pipelines, curation, and feature engineering supporting RL experimentation and multi-modal model training
  • Guide RL pilots from proof-of-concept through production deployment, ensuring ML Ops rigor—versioning, automated testing, monitoring, and continuous training
  • Partner deeply with biology, engineering, platform teams, product teams, and enterprise AI groups to integrate RL into existing workflows and systems
  • Mentor and develop talent
What we offer
What we offer
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models, including remote and hybrid work arrangements, where possible
  • Fulltime
Read More
Arrow Right

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...
Location
Location
United States , Minneapolis
Salary
Salary:
322000.00 USD / Year
coherentsolutions.com Logo
Coherent Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
  • at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
  • 10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
  • 5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
  • (ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
  • (iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
  • and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
  • presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
  • at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph
Job Responsibility
Job Responsibility
  • Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
  • Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
  • Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
  • Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
  • Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
  • Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
  • Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
  • Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
  • Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
  • Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact
What we offer
What we offer
  • health insurance
  • vision insurance
  • dental insurance
  • life insurance
  • PTO
  • 401k
  • HSA
  • Fulltime
Read More
Arrow Right

Director of Product Marketing & Go to Market for Frontier Models & Innovation

Microsoft AI is seeking a Director of Product Marketing & Go‑to‑Market for Front...
Location
Location
United States , Redmond
Salary
Salary:
130900.00 - 251900.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in technical product marketing
  • OR Master's Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in technical product marketing
  • OR equivalent experience
  • 10+ years in product marketing, GTM, developer relations, or research program leadership, with 4+ years focused on AI/ Machine Learning (ML) platforms or foundational models
  • Experience in ML fundamentals, transformer architectures, scaling, fine‑tuning, and evaluation
  • Experience shaping product narratives, influencing roadmap, and driving adoption of technical platforms
  • Experience partnering with senior technical leaders and translate their work into external recognition and hiring outcomes
Job Responsibility
Job Responsibility
  • Lead PMM for Frontier Models
  • Define the positioning, value propositions, and competitive frame for each frontier model family
  • Build the upstream narrative architecture: customer insight, use‑case mapping, differentiation, and “must‑be‑true” product conditions
  • Partner with Research and Product to influence roadmap, evaluation priorities, and model behaviors based on developer, enterprise, and researcher needs
  • Develop the messaging hierarchy and content strategy that anchors all GTM, comms, and ecosystem engagement
  • Own Global GTM Strategy & Launch Execution
  • Build and lead the full GTM strategy for foundational model releases, including access tiers, commercialization strategy, and launch sequencing
  • Architect breakthrough, memorable launch moments that cut through noise and set new industry standards
  • Orchestrate cross‑functional execution across research, engineering, product, comms, policy, and developer relations
  • Elevate Technical Voices
  • Fulltime
Read More
Arrow Right

Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration

We are seeking a highly accomplished Engineering Director with extensive technic...
Location
Location
United States , Bellevue, WA
Salary
Salary:
271000.00 - 347000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of experience growing and leading successful Engineering teams, with a proven ability to recruit, land, and grow both engineering technical managers and individual contributors
  • Extensive expertise (15+ years) in Machine Learning (ML), and Artificial Intelligence (AI), with a history of functioning as a technical leader or lead architect on production systems
  • Extensive experience building and deploying complex, large-scale, distributed AI/ML software systems from the ground up
  • Experience as a great collaborator, building models and processes for aligning work across large, multi-disciplinary teams (Engineering, Data Science, Product Management)
  • Hands-on technical experience in relevant ML/AI languages (e.g., Python, C++) and applying data-driven methodologies to define and manage large software projects
  • Demonstrated ability to drive technical strategy and execution in cutting-edge AI domains like multi-modal processing, model evaluation, or RL-based post-training
Job Responsibility
Job Responsibility
  • Lead and manage teams of AI applied researchers and engineers, providing extensive technical guidance, mentorship, and support to ensure the successful end-to-end delivery of high-quality, scalable AI/ML systems
  • Serve as the technical authority, driving the design, development, and deployment of complex AI solutions, including LLM post-training techniques (like Reinforcement Learning and Fine-Tuning), Multi-modal Content Understanding, and Agentic AI platforms
  • Define and lead the long-term technical strategy and roadmap for large, enterprise-wide AI efforts, ensuring alignment with the ASA mission to deliver cost-efficient and performant AI models
  • Foster an environment of innovation, rapid prototyping, and technical excellence, encouraging experimentation and continuous improvement in the pursuit of SoTA performance
  • Identify new, high-leverage opportunities for LLM-based automation across Meta's product portfolio and influence cross-functional partners for appropriate staffing and prioritization
  • Supervise the development of AI-centric platforms, such as the AI Evaluation and scalable inference and serving infrastructure for 1P, 2P, and 3P models
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right
New

Director, Product Management- Enterprise AI

Director, Product Management- Enterprise AI. Product Management at Capital One i...
Location
Location
United States , McLean, Virginia | Richmond, Virginia | New York, New York | Chicago, Illinois
Salary
Salary:
209500.00 - 286900.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 7 years of experience working in Product Management
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Job Responsibility
Job Responsibility
  • Establish Strategic Vision: Own the AX AI roadmap and governance standards to manage risk, prioritize high-value use cases, and ensure our infrastructure supports the broader Enterprise AI roadmap
  • Lead Product Execution: Direct a team focused on integrating core services with AI agents, utilizing agentic frameworks and orchestration protocols as the baseline for our vision
  • Drive User Enablement: Champion AI adoption through standardized prompt/interaction patterns and comprehensive enablement programs to drive workforce proficiency
  • Drive Cross-Functional Alignment: Work seamlessly across lines of business (LOBs) to establish governance protocols, consolidate disparate AI initiatives, and build a cohesive ecosystem
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...
Location
Location
United States , San Francisco; New York
Salary
Salary:
285200.00 - 356500.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
  • 6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
  • Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
  • Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
  • Strong technical judgment across software engineering, system design, and applied ML fundamentals
  • Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
  • Bachelor’s degree required
  • Master’s or PhD in Computer Science or a related field strongly preferred
Job Responsibility
Job Responsibility
  • Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
  • Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
  • Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
  • Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
  • Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
  • use these insights to influence internal research, product roadmaps, and customer strategy
  • Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
  • Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • commuter stipend
  • Fulltime
Read More
Arrow Right

Director SW Engineering (ML Engineering and Platform)

The Prisma AIRS team is building the future of AI security. With organizations b...
Location
Location
United States , Santa Clara
Salary
Salary:
232000.00 - 320750.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS in Computer Science, Engineering, or a related technical field
  • 12+ years of professional software development experience, with a proven track record of building and shipping high-quality, large-scale, enterprise-grade cloud delivered services
  • Extensive professional experience with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale
  • MLOps pipelines
  • Model governance/lifecycle
  • AI observability stack, Big Data infra (Kafka/Spark)
  • GenAI/LLM platform
  • IaC/GitOps
  • AI safety/governance
  • 6+ years of formal engineering management experience, with experience leading multiple teams (managing managers is a plus)
Job Responsibility
Job Responsibility
  • Define and execute the technical strategy and roadmap for your area of ownership within the Prisma AIRS engineering organization, managing multiple teams and engineering managers
  • Build and lead a high-performing engineering organization. Excel at recruiting, mentoring, and retaining top-tier engineering talent and managers
  • Drive the architectural direction for a complex, highly scalable, cloud-native AI security platform within your domain. Make critical high-judgment decisions on technology, architecture, and long-term design
  • Partner seamlessly with senior leaders across Product Management, AI Research, UX, and other engineering leaders to deliver on a cohesive product roadmap
  • Clearly articulate technical vision, strategy, project status, and risks to senior stakeholders and executive leadership
  • Foster a results-oriented culture of innovation, execution, collaboration, and engineering excellence, empowering teams to solve challenging problems
  • Fulltime
Read More
Arrow Right

Sr. / Director of Product, GenAI Data Engine

As Sr. / Director of Product, you will own the end-to-end product strategy for C...
Location
Location
United States , San Francisco; New York
Salary
Salary:
272800.00 - 341000.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years product leadership experience in enterprise SaaS, AI/ML infrastructure, or marketplace platforms
  • Track record of building complex, multi-surface products spanning multiple different stakeholders
  • Strong technical depth in AI/ML or data infrastructure, able to partner closely with engineering and research teams
  • Customer empathy and proven ability to translate end-user requirements into high-leverage product capabilities
  • Demonstrated operational rigor and ability to deliver measurable improvements in quality, retention, and efficiency
  • Inspirational leader with experience building and scaling PM teams
Job Responsibility
Job Responsibility
  • Translate business objectives into product outcomes, including higher contributor retention, improved operator productivity, faster project setup and delivery, and increased customer satisfaction
  • Long term product vision, strategy and alignment to ensure executive alignment and that EPD teams are creating compelling, bold and coherent products
  • Partner deeply with Engineering, Design, Data Science, Operations and GTM to productize experiments into scalable systems. Cultivate culture of executional excellence, analytical rigor, effective communication and strong x-team collaboration
  • Partner closely with internal customers (Operators) using our tools to to unblock live pipelines and ensure smooth rollouts while pursuing a long-term vision
  • Establish clear product success metrics tied to business goals such as contributor quality, utilization, time to first delivery, data quality, operator productivity and cost efficiency
  • Hire, retain, grow and mentor a high-performing PM team, fostering a culture of velocity, accountability, and measurable impact
  • Represent Scale at the executive level with customers and partners, ensuring roadmap alignment with growth and long-term platform advantage
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity grant
  • commuter stipend
  • Fulltime
Read More
Arrow Right