Development Lead, Payroll & Time

Alo Yoga

. Build bespoke AI solutions to accelerate business outcomes, including product image generation, conversational assistants, and process automation .

Posted 11/9/2026full-timeRemote • California • United StatesSenior💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and integrating AI solutions that enhance business outcomes, with a strong foundation in machine learning fundamentals and practical data engineering. Proven ability to mentor peers and implement responsible AI practices focused on transparency and fairness.

Highest-signal resume keywords

10+ Years Experience In Data Or Software EngineeringMS Or PhD In Artificial Intelligence, Machine Learning, Or Data ScienceSkilled In Python, SQL, And Cloud AI PlatformsFluent In Modern AI FrameworksExperience Integrating AI Into Business Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLMachine Learning FundamentalsData EngineeringModel Evaluation FrameworksClassificationNatural Language ProcessingComputer VisionEmbeddingsRapid Prototyping

Soft Skills

Curiosity About Human Creativity And Artificial IntelligenceImpact-Driven ApproachComfort Working In Ambiguity

Tools & Technologies

AWSGCPAzureLangChainHugging FaceOpenAI

Industry Keywords

AI SolutionsConversational AssistantsProcess AutomationResponsible AI PracticesBusiness Workflows

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build bespoke AI solutions to accelerate business outcomes, including product image generation, conversational assistants, and process automation
Rapidly prototype using APIs, open models, and cloud-native services
Transition experiments into maintainable, production-grade systems or reusable components
Evaluate external AI platforms and tools for integration potential, cost, and business fit
Collaborate with marketing, design, supply chain, retail operations, and engineering teams
Implement responsible AI practices focused on transparency, fairness, and explainability
Mentor and coach peers in practical AI adoption and experimentation

Requirements

What you’ll need

10+ years of experience in a data or software engineering field
MS or PhD in Artificial Intelligence, Machine Learning, or Data Science
Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure)
Fluent in modern AI frameworks (LangChain, Hugging Face, OpenAI, etc.)
Strong grasp of ML fundamentals, including classification, NLP, computer vision, and embeddings
Practical data engineering experience
Experience integrating AI into business workflows, such as content generation, demand forecasting, or intelligent search
Experience implementing/developing model evaluation frameworks
Ability to rapidly build working demos and design scalable systems
Comfort working in ambiguity
Curiosity about human creativity and artificial intelligence
Impact-driven approach

Benefits

Comp & perks

Performance bonuses
Long term incentives
PTO policy
Other progressive benefits