Lead Recruiter, AI/ML Job at Shopify

Senior Engineer, Workday ATS

As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Eng...

Location

United States , Austin

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations
Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions
Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems
Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations
Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar
ability to design and maintain automated regression suites for recruiting workflows
Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience
Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations
Strong stakeholder management and communication skills
ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions

Job Responsibility

Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience
Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality
ensure seamless data flow across systems
Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools
manage test execution and traceability in qTest
integrate results into CI/CD pipelines for continuous quality validation
Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability
Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services
Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads
Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement

What we offer

global access to mental health and financial wellness support and resources
statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
time off work for vacation and other personal reasons

Fulltime

Principal Technical Recruiter

We're seeking a strategic Principal Technical Recruiter to drive talent acquisit...

Location

United States , Palo Alto

Salary:

140000.00 - 190000.00 USD / Year

OpusClip

Expiration Date

Until further notice

Requirements

7+ years of technical recruiting experience with proven track record of successfully hiring ICs to executives
Demonstrated ability to influence business decisions and drive organizational change through strategic recruiting initiatives
Strong analytical skills with experience establishing metrics, interpreting data, and presenting insights that drive action
Excellence in stakeholder management across technical and executive leadership, with ability to challenge ideas and navigate competing priorities
Deep understanding of technical roles with ability to source and evaluate candidates across engineering, product, and design disciplines
Track record of building recruiting systems or implementing significant recruiting initiatives
Experience coaching recruiters and hiring managers on recruiting best practices
Proven success in fast-paced, high-growth startup environments

Job Responsibility

Execute end-to-end recruiting for technical roles ranging from individual contributors to senior executives
Develop innovative sourcing strategies to identify and engage passive candidates across Security, Infrastructure, AI/ML, and other specialized technical domains
Use talent metrics to identify bottlenecks and improve process efficiency
Design and deliver exceptional candidate experiences that reflect organizational values and strengthen employer brand
Successfully close candidates at all levels through strategic offer negotiation and relationship building
Foster a culture of continuous improvement and recruiting excellence across the organization
Partner with executive leadership to develop recruiting strategies that align with business objectives and drive organizational transformation
Lead change management initiatives to evolve recruiting processes, introduce new hiring methodologies, and drive adoption across technical teams
Influence hiring decisions and team composition through strategic workforce planning and market intelligence
Develop trusted relationships with hiring managers, interviewers, and executive leadership to drive hiring excellence

What we offer

Offers Equity
$11,666 – $50,000 Bonus

Fulltime

Senior Manager Analytics

Senior Manager, Merchandising and Food Category Analytics role focused on leadin...

Location

Norway , Oslo

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline such as Data Science, Applied Mathematics, Statistics, Engineering, or similar is preferred
Higher business degrees will also be considered
7+ years of experience in data science and analytics, including 2+ years in a leadership role, ideally in a retail merchandising or category analytics context
Excellent English language skills for communication with colleagues in Europe
Excellent communication skills with stakeholders at all levels of the organization and in any geography
Proven ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Experience with analytical approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, as well as Agile development methodologies
Familiarity with data science methodologies and tools including statistics, regression, clustering, time series analysis, machine learning
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based AI/ML platforms (e.g., Azure, Snowflake, Google Cloud Platform, AWS)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices

Job Responsibility

Collaborate with business stakeholders and category teams to define business requirements, KPIs, and acceptance criteria for analytics initiatives
Act as a data-driven thought partner to Category teams, providing analytical support and challenging priorities based on insights
Develop, manage, and execute the analytics roadmap to support business objectives and drive performance across assigned merchandise categories
Serve as the data-driven partner for our operational leadership teams, category teams, and functional teams, supporting them in their priorities, but also challenging and prioritizing based on data and insights you and your team uncover
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent
Lead the design, development, and deployment of initiatives spanning reporting and advanced analytics (e.g., forecasting, clustering, A/B tests, causal impact analysis etc.) to optimize category performance, competitor analysis and scale cross-category toolkits
Oversee the end-to-end analytics workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation
Partner with Technology and Operations teams to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues

What we offer

Employee discount on fuel
Work in a collaborative, dynamic, high-performing and diverse team
Learning opportunities to develop new skills and evolve professionally in a fast-growing company.

Fulltime

Director, Digital Ecosystem Applications

This position is responsible for the Software Platforms group at the Innovation ...

Location

United States , Belmont

Salary:

240000.00 - 285000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

10+ years with 2+ years in a technical leadership role
CS, EE, M.S. Engineering (or equivalent) REQUIRED
M.S. Engineering (or equivalent) or PhD PREFERRED
Analytical and conceptual thinking – using logic and reason, creative and strategic
Communication skills – interpersonal, presentation and written
Managing interdisciplinary teams on individual projects
Integration – joining people, processes or systems
Influencing and negotiation skills
Problem solving
Resource management

Job Responsibility

Define the technical mission, architecture strategy, and long‑term platform vision for the In‑Vehicle Computing & Digital Ecosystem Applications team, spanning Android Automotive OS (AAOS), in‑vehicle compute platforms, Software‑Defined Vehicle (SDV) architecture, and AI‑driven cockpit intelligence
Provide technical leadership across the full software stack, including Android Framework, System Services, HAL layers, middleware, connectivity stacks, media/audio frameworks, HMI toolchains, and cloud‑connected AI runtimes within an SDV‑aligned architecture
Lead and mentor engineering teams in platform bring‑up, system integration, performance optimization, and development of AI‑agentic features, multimodal interaction models, and next‑generation speech technologies
Manage multi‑year budgets for platform development, AI integration, SDV‑aligned compute evolution, SoC evaluations, cloud services, and prototype programs
Deliver executive‑level technical reporting on architecture decisions, platform readiness, SDV integration milestones, AI progress, risks, and strategic recommendations
Drive strategic planning for ICC’s infotainment and cockpit portfolio, including AAOS evolution, hybrid cloud/edge AI pipelines, intelligent mobile agent technologies, and SDV‑centric software and compute roadmaps
Align technical roadmaps with global VW Group Innovation teams across infotainment, connectivity, AI/ML, vehicle architecture, cloud services, and SDV platform strategy, ensuring cross‑platform consistency and shared component reuse
Build strategic relationships with SoC vendors, Tier‑1 suppliers, cloud providers, and AI technology partners to influence cockpit compute and SDV platform evolution
Maintain partnerships with Silicon Valley companies specializing in AI runtimes, LLMs, speech, multimodal interaction, and automotive‑grade SDV‑compatible software frameworks
Collaborate with academic and research institutions on AI‑agentic systems, embedded ML, HMI, and in‑vehicle compute architectures aligned with SDV principles

What we offer

Eligibility for annual performance bonus
Healthcare benefits
401(k), with company match
Defined contribution retirement program
Tuition reimbursement
Company lease car program
Paid time off

Fulltime

Machine Learning Engineering Manager - Asset Intelligence

We’re looking for an Engineering Manager to manage a cross-functional team of Ap...

Location

United States , San Francisco

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience with at least 2+ years leading high-performing AI/ML and/or applied science teams
Experience managing teams that include Fullstack Developers, AI/ML Developers and Data Scientists
Excellent communication and storytelling skills, with the ability to influence stakeholders across technical and business functions
Knowledge of modern web development frameworks (React, Node.js) and API design
Understanding of the AI/ML stack: Python, PyTorch/TensorFlow, scikit-learn, Airflow, Spark, Kubernetes, as well as JavaScript/TypeScript
Familiarity with ML/LLM ecosystems (e.g. fine-tuning, RAG, prompt orchestration, vector DBs, LlamaIndex, or similar frameworks)
Strong product instincts—able to translate ambiguous problems into measurable experiments and data products

Job Responsibility

Lead cross-functional teams of 6–10 developers across Fullstack Developers (React/Node.js), ML Developers (Python), and Data Science
Own the roadmap & technical strategy closely with Product, Design, and Engineering to scope and help teams deliver AI-powered features
Drive a culture of experimentation, applied research, and rigorous measurement—making sure we ship models that work in the real world
Lead/Grow/Coach developers on your team, help them develop new skills/experiences, advance their careers
Understand needs for your team and help enable every developer to contribute to the team's goals
Highlight the team’s impact with senior leadership
Recruit and mentor world-class AI/ML talent, building a high-performance team that can move fast and think big

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO
A Work Culture where: You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists
We believe in meritocracy, where ideas and effort are publicly celebrated

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
Experience in setting up geographically distributed sites
Must have a strong background in software development lifecycle including cloud infrastructure
Familiarity with agile methodologies and tools like JIRA
Prior experience in cloud product development and deployments
end to end ownership and accountability
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change

Job Responsibility

Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
ensures that organization is effectively leveraging outsourced resources
Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Data Science Director

At Mastercard, we’re building an Agentic AI platform to transform how our produc...

Location

United States of America , Arlington; Purchase; San Francisco

Salary:

179000.00 - 305000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions
Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations
Hands-on background in building and implementing Graph database and Reinforcement Learning capabilities in real world applications
Strong track record of translating complex data problems into scalable, measurable business outcomes
Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake
Experience working in highly regulated industries, with an emphasis on data governance and compliance
Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions
Master’s degree required
PhD preferred

Job Responsibility

Define and execute the data science vision and roadmap for Graph database and Reinforcement Learning capabilities, aligning initiatives with business priorities and product strategy
Recruit, lead, and mentor a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration
Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes
Build and scale Graph database and Reinforcement Learning capabilities that enrich merchant and transaction data
Guide the design and implementation of Graph database and Reinforcement Learning capabilities that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance platform experiences
Monitor and continuously improve deployed models to ensure accuracy, reliability, and compliance in a regulated financial environment
Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark)
Ensure compliance with Mastercard’s data governance, security, and privacy requirements
Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards
Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

Head of Platform Engineering

Lead and scale the Platform organization at Descript, which is central to empowe...

Location

United States , San Francisco

Salary:

224000.00 - 296000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

5+ years of engineering management experience, including leading multiple teams or an engineering organization, preferably in platform or developer experience domain
Strong technical background with experience in cloud platforms (GCP preferably), scalable infrastructure, and AI/ML technologies
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience
Ability to develop and communicate a clear vision
Experience creating collaborative, empowering, and high-performing team environments
Clear and effective communication across technical and non-technical audiences
Ability to thrive in fast-paced, rapidly changing environments and navigate ambiguity

Job Responsibility

Develop and execute a strategic vision and roadmap for the Platform organization
Recruit, mentor, and grow engineering managers and engineers
Ensure execution across the Platform teams is predictable, reliable, and sustainable
Work closely with Product, Design, and other Engineering teams
Drive innovation within the Platform organization
Help scale and evolve our company culture as we grow

What we offer

Generous healthcare package
401k matching program
Catered lunches
Flexible vacation time

Fulltime

Lead Recruiter, AI/ML

Shopify

Location:

Category:
Human Resources

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 16, 2026

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