Job description
Location: Remote
SweetRush has an exciting opportunity for a talented professional to join our Custom Learning Project team! This is a fully remote position with the flexibility to work from anywhere, as long as you are available during US business hours.
Who We Are
SweetRush is a consulting, design, and staffing firm specializing in HR-related services that help foster life-centered businesses and organizations. Our work includes designing unique learning experiences using agency-level graphics and leading-edge technology; creating high-performing cultures, leaders, and teams; and helping our clients grow their learning teams with qualified professionals.
Many of our clients are household names with large international operations, while others are small nonprofits whose work we value as essential to the world. We try to balance the work we do for profit with the work we do to spread good things in the world.
SweetRush is a leader in the field of learning and development, leveraging emerging technologies (such as VR and AR), games, storytelling, chatbots, interactive virtual and in-person experiences, and more, all while grounding our work in vibrant and impactful human-centered design. The many awards we win every year reflect the care we put into our craft and our collaborations with clients. We’ve been grateful to have won awards with notable clients such as Hilton, Google, Bridgestone, Adidas, and SHRM, among others.
We are a completely virtual, tight-knit, talented community that spans the globe, a culture-forward team that values diversity, respect, and caring. Our folks tend to stick around, as do our clients.
We like to think we stand apart from competitors for the uniqueness and innovation of everything we create—and for who we are. And we’re committed to hiring talent that’s as creative, innovative, and caring as everyone on our team. This is where you come in…
The hourly rate is negotiable.
About the Role
We’re creating a new certification: Inside Gemini: Gen AI Multimodal and Google Intelligence (Google DeepMind). This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications.
We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound.
Responsibilities
As the SME, you’ll partner with learning experience designers and content developers to:
- Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals.
- Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries.
- Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines.
- Ensure all content reflects current, accurate usage of Google’s multimodal tools and services.
- Be available during U.S. business hours to support project milestones, reviews, and content feedback.
This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem.
Essential Tools & Platforms
A successful SME in this role will demonstrate fluency and hands-on experience with the following:
Google Cloud Platform (GCP)
- Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment)
Cloud Functions, Cloud Run (for inference endpoints)
- BigQuery and Cloud Storage (for handling large image-text datasets)
- AI Platform Notebooks or Colab Pro
Google DeepMind Technologies
- JAX and Haiku (for neural network modeling and research-grade experimentation)
- DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations)
- RLax or TF-Agents (for building and modifying RL pipelines)
AI/ML & Multimodal Tooling
- Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting)
- TensorFlow 2.x and PyTorch (for model interoperability)
- Label Studio, Cloud Vision API (for annotation and image-text preprocessing)
Data Science & MLOps
- DVC or MLflow (for dataset and model versioning)
- Apache Beam or Dataflow (for processing multimodal input streams)
- TensorBoard or Weights & Biases (for visualization)
Content Authoring & Collaboration
- GitHub or Cloud Source Repositories
- Google Docs, Sheets, Slides
- Screen recording tools like Loom or OBS Studio
Required skills and experience:
- Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI-powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code.
- Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of-Thought, few-shot, zero-shot).
- Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions.
- Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities.
- Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic.
- Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval.
- Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions.
- Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic.
- Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices.
- Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms.
- Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents.
- Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy.
- Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications.
- Experience addressing ethical challenges in the deployment and operation of advanced AI systems.
- Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers.
- Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real-world projects.
- 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI.
- Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field.
- Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way
Strong programming experience in Python and experience deploying machine learning pipelines
- Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers
Preferred:
- Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines.
- Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices.
- Prior contributions to open-source AI projects or technical community engagement.
SweetRush Is an Equal Opportunity Employer
We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, or belief; national, social, or ethnic origin; sex (including pregnancy); age; physical, mental, or sensory disability; HIV status; sexual orientation, gender identity, and/or expression; marital, civil union, or domestic partnership status; past or present military service; family medical history or genetic information; family or parental status; or any other status protected by the laws or regulations in the locations where we operate. SweetRush will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Call to Action:Submit Your Resume!
Team chemistry is everything to us, so our ultimate goal is to find the right fit. If the above describes your interests and experience, and you believe this will be a dream job, please submit your resume. We are excited to hear from you!
Please note: We’re all about remote work and have collaborators based all around the world; however, SweetRush is a US-based company, and English is our primary language. If you’d like to be considered for this opportunity, please submit your resume in English.
SweetRush believes in transparency and fairness. And for that reason, all of our active searches are available on the SweetRush “Join Us” page athttps://www.sweetrush.com/join-us/. You can also find a handful of openings posted on our LinkedIn company page under the “Jobs” tab athttps://www.linkedin.com/company/sweetrush/jobs/.
Unfortunately, cybercriminals take advantage of good people. Please know that SweetRush would never ask for your personal information such as SSN, banking information, credit cards, etc. during the application or interview process. Always be mindful to protect your personal and financial information, and use careful judgment when providing information to recruiters or talent acquisition professionals.
