Developer Advocate AI/ML Job at Encord (San Francisco)

AI/ML Developer Evangelist

You will be Encord’s first ML Developer Evangelist hire. As an AI/ML Developer E...

Location

United States , San Francisco

Salary:

75000.00 - 120000.00 USD / Year

Encord

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or a related field
previous experience working as a Machine Learning or Computer Vision Engineer or building machine learning models
a self-starter who wants to forge your own career path
confident in being the engineering face of a rapidly growing business
a desire to grow your own personal brand within AI/ML communities

Job Responsibility

Advocating for Encord within developer communities, fostering relationships with developers, and promoting the adoption of best practices
Leading research and content development on the latest updates and trends in AI/ML including foundational model releases
Creating engaging technical content, and organizing hands-on webinars to assist developers in developing performant models
Showcasing best practices in data curation, data labeling, label validation, and model evaluation
Leading the Encord community and responsibility for the structure of and engagement within the community
Working closely with internal teams to gather feedback and insights from the developers, contributing to the enhancement of Encord’s products and services

What we offer

Competitive salary and equity in a hyper-growth business
Strong in person culture
18 days annual leave a year + public holidays

Fulltime

Senior Software Engineering Manager - Developer Experience and Automation

At CVS Health, we're building a world of health around every consumer and surrou...

Location

United States

Salary:

106605.00 - 260590.00 USD / Year

CVS Health

Expiration Date

January 30, 2026

Requirements

7+ years of overall experience in Software Development, Agile Practices, Team and Project/Product Management
3+ years of overall development experience on enterprise-class applications
3+ years partnering with architecture, product, and program management teams to influence product development decisions
3+ years of experience working on projects using mature CI/CD practices, source control such as Git, and automated testing
2+ years of experience working with large public cloud technologies (e.g., GCP, AWS, Azure)
Experience in setting up and optimizing efficient data stores (RDBMS/NoSQL) for production
Experience leading teams that follow a Scrum/Agile development methodology
Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)

Job Responsibility

Strategic Leadership: Drive the vision and roadmap for intelligent automation initiatives that streamline developer workflows and enhance engineering outcomes
Solution Architecture: Oversee the design and implementation of scalable, cloud-native applications using modern full-stack frameworks
AI Integration: Champion the integration of AI capabilities into automation pipelines to enable adaptive systems and data-driven decision-making
Performance Optimization: Apply DORA metrics to assess and continuously improve engineering performance, delivery velocity, and operational efficiency
Cross-Functional Collaboration: Partner with engineering, product, and platform teams to align automation strategies with organizational goals
Leading teams to design, implement, and optimize automated systems
Project management, technical leadership, strategic planning, and stakeholder collaboration
Advocate for engineering best practices, including test coverage, clean code, and security
Work closely with data scientists, software developers, and business stakeholders to translate AI research into practical, deployable solutions
Lead the prototyping and experimentation with new generative models, optimizing them for specific use cases

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
No-cost tobacco cessation programs
No-cost weight management programs
Confidential counseling
Financial coaching
Paid time off
Flexible work schedules

Fulltime

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

New

Temp - Solutions Engineer

Fox Corporation is seeking a Temp - Solutions Engineer to join our AI Enablement...

Location

United States , Los Angeles

Salary:

52.50 - 62.50 USD / Hour

Fox News Media

Expiration Date

Until further notice

Requirements

2-3 years of engineering experience
Strong programming skills in TypeScript, Python or other modern coding languages
Experience with AI/ML models and prompt engineering
Data engineering skills to connect models to production enterprise systems
Familiarity with cloud platforms such as AWS, GCP, or Azure
Hands-on experience with GitHub Copilot, ChatGPT Enterprise, Cursor or other AI-powered coding tools
Strong problem-solving skills and a passion for enabling teams through AI and automation
Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders

Job Responsibility

Develop and deploy AI-powered solutions using advanced language models to support various business needs
Identify and evaluate AI/ML models for more custom solutions
Assist teams in onboarding and integrating AI-powered development tools into their workflows
Provide technical guidance and best practices for AI-assisted software development
Collaborate with Engineering and Product teams to identify opportunities where AI can drive efficiency and automation
Build and maintain internal documentation, tutorials, and training materials to support AI tool adoption
Stay up to date on the latest AI trends and advancements, evaluating new tools and their potential impact
Act as a subject matter expert and advocate for AI-driven development practices across the organization
Implement tooling to monitor adoption rates and effectiveness of AI tooling across the company

Site Reliability Engineer

Join our client, a leading financial institution at the forefront of innovation,...

Location

United States , Austin

Salary:

57.00 - 63.33 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Proven experience leading engineering teams and delivering projects using Scrum and efficient release practices
Strong background in converting high-level designs into low-level designs and providing technical oversight
Demonstrated experience in designing, architecting, and deploying cloud-native applications, specifically on GCP
Proficiency with various database technologies, including MongoDB, Aerospike, SQL Server, and PostgreSQL
Expertise in containerization technologies such as Docker and Kubernetes, and building/managing CI/CD pipelines
Experience leveraging AI-Driven software development tools to enhance productivity, code comprehension, and documentation
Proven track record of integrating and applying AI/Machine Learning models for data analytics, visualization, automation, and problem-solving
Ability to maintain high quality standards while delivering within tight schedules
Exceptional collaborative mindset with a bias for action, engaging effectively with product management, architects, and other domains
Strong ability to work with internal, external, and offshore stakeholders

Job Responsibility

Drive Technical Leadership & Project Delivery: Lead engineering teams through the entire project lifecycle, leveraging agile methodologies like Scrum to ensure efficient delivery and robust release practices
Architect & Design Cloud-Native Solutions: Translate high-level architectural visions into detailed low-level designs, providing expert technical oversight for the development and deployment of cutting-edge cloud-native applications
Champion Reliability & Scalability: Design, architect, and deploy highly available and scalable cloud-native applications on platforms such as GCP, ensuring optimal performance and resilience
Optimize Data Management: Leverage your expertise with diverse database technologies, including MongoDB, Aerospike, SQL Server, and PostgreSQL, to build and maintain robust data solutions
Advance DevOps & Automation: Implement and optimize containerization strategies using technologies like Docker and Kubernetes, and establish sophisticated CI/CD pipelines to streamline development and deployment
Innovate with AI/ML: Integrate and apply AI/Machine Learning models to enhance data analytics, visualization, automation, and creatively solve complex business and technical challenges
Foster Collaboration & Mentorship: Work closely with diverse stakeholders across product management, architecture, and other engineering domains, while actively mentoring and coaching multiple teams to elevate technical capabilities
Influence & Present Solutions: Effectively engage subject matter experts, present complex architectural solutions to governance boards and stakeholders, and advocate for data-driven proposals

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

New

AI/ML Manager - Engineering Leader

As an AI/ML Manager, you will leverage your strong technical expertise in machin...

Location

United States , Dublin, CA (HQ)

Salary:

Not provided

Fin Capital

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical field
PhD preferred for deeper research leadership
Excellent communication and collaboration skills for cross-functional teamwork and translating technical AI/ML concepts into business impact
Strong organizational skills with proven experience managing multiple complex AI/ML projects and priorities in dynamic environments
5+ years of professional experience in software engineering, machine learning, or applied AI, including at least 3 years in a leadership or management capacity
Proven track record successfully building, deploying, and scaling machine learning systems in production environments
Deep understanding of modern ML/AI techniques (e.g., deep learning, transformers, reinforcement learning) and proficiency with frameworks such as TensorFlow, PyTorch
Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices/tools for model orchestration, deployment, continuous integration, and monitoring
Strong coding skills, at least in Python, and familiarity with containerization (Docker, Kubernetes) and data engineering pipelines is a plus

Job Responsibility

Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, technical excellence, and continuous learning
Collaborate cross-functionally with Customer Success, Product Management, Engineering, and Business Development to scope, prioritize, and align AI/ML initiatives with core business objectives
Define and enforce best practices for the full ML lifecycle, including experimentation, code reviews, reproducibility, deployment pipelines, monitoring, and MLOps
Own the technical roadmap for AI/ML capabilities, ensuring alignment with long-term product strategy while rapidly adapting to research findings and market shifts
Drive translation of applied research into production-ready solutions, balancing cutting-edge innovation with pragmatic delivery at startup speed
Establish team processes for prioritization, planning, and technical guidance to optimize execution speed while ensuring reliability, scalability, and quality
Promote a data-driven culture by defining success metrics and KPIs, ensuring technical outputs are measurable, impactful, and tied to business outcomes
Contribute hands-on to technical architecture, model design, and code reviews where appropriate, while balancing technical leadership and management responsibilities
Advocate for responsible and ethical AI practices, ensuring compliance with organizational policies and industry standards

What we offer

The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises
A culture of curiosity and technical excellence, where you'll continuously learn and grow
High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap
A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development
Equity and ownership opportunities in a category-defining company
The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale

Fulltime

New

Practice Manager, Data Science, AI & ML

Practice Managers are expected to be subject matter experts capable of leading a...

Location

United States

Salary:

128300.00 - 213800.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

12+ years of experience in customer-facing software/technology, data analysis, or consulting
Minimum 7+ years of experience architecting and building Data science and AI solutions
Minimum 6+ years of experience with AWS or other public cloud Data Science solutions
In-depth understanding and professional experience with AWS Data Analytics and AI/ML Services
Demonstrated knowledge of software development tools and methodologies
Solid understanding of agile methodologies
Master or Ph.D. in Computers and/or Data Science
AWS, Azure or GCP Certified ML Certified Specialist

Job Responsibility

Be the lead technical liaison between customers and engineering resources
Provide tactical scope and work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed
Lead teams of both business and technical colleagues throughout the course of the project, and communicate with each of them effectively
Ensure that all the appropriate questions are asked and verify that nothing crucial to the success of the project is overlooked
Be an AI and ML evangelist by educating a variety of customers on the value of data science and AI Solutions
Help customers transition to the cloud in a high-value migration approach that leverages best-of-breed designs and practices delivered in an agile model
You will play an active role in delivering modern AI and ML solutions for clients, including generative AI, cognitive computing, and cloud services
Establish credibility and build impactful relationships with our customers to enable them to be cloud and Data science and AI advocates
Lead and participate in deep solutions and architectural discussions to build confidence and ensure customer success when building platforms and services on the AWS platform
Conduct deep-dive “hands-on” education/training sessions to transfer knowledge to customers interested in AWS and to ensure our Rackers are up to date

What we offer

Incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP)

Fulltime

Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI

We are seeking an exceptional Senior Solutions Architect & Customer Advisor to s...

Location

United States

Salary:

161000.00 - 268300.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering or related field
MBA or relevant graduate degree preferred
15+ years of hands-on experience in cloud architecture, enterprise infrastructure or solutions architecture
Proven track record designing and implementing large-scale cloud solutions for enterprise clients
Deep expertise in Hybrid Cloud and Data Center architecture with focus on at least two major platforms (AWS, Azure, GCP) and experience with private cloud platforms (VMware, OpenStack)
Strong technical foundation in infrastructure, networking, security, and cloud-native development
Demonstrated ability to architect solutions from requirements through implementation
Experience working with Banking & Financial Services or Healthcare clients on cloud initiatives
Information security, risk management, and regulatory expertise
Understanding of industry-specific operational models and applications

Job Responsibility

Lead technical discovery engagements to assess current cloud maturity, identify hybrid cloud opportunities, and understand infrastructure and application modernization requirements
Conduct comprehensive assessments of customer technology environments to identify gaps, risks, and transformation opportunities
Translate customer business challenges into technical requirements and cloud architecture specifications
Design end-to-end cloud solutions across private cloud, hybrid cloud, and data center ecosystems, including network and cybersecurity
Develop technical roadmaps that align cloud strategy with business objectives
Create proofs-of-concept, reference architectures, and migration strategies
Architect and optimize hybrid cloud solutions across AWS, Azure, and/or GCP platforms, ensuring resilience, scalability, and operational excellence
Design cloud-native architectures leveraging infrastructure-as-code (Terraform, CloudFormation), automation, and DevOps practices
Provide technical leadership on data center modernization, VMware environments, and private cloud platforms
Advise on AI/ML integration, intelligent automation, and emerging cloud technologies

What we offer

incentive compensation opportunities in the form of annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP)

Fulltime

Developer Advocate AI/ML

Encord

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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