TL;DR

The bad

⚡️ We hire slow and fire fast
😪 No flashy merch or trips
👷🏻 Hard work
✋🏻 No stock (usually)
🗣️ English or Spanish required
👶🏻 No kindergarten standards

The good

🧑🏻‍🔬 AI | deep tech | multimedia | social
🌎 Fully remote
💵 Above market rate salary
⬆️ Not shy to promote
🍰 BIG cash bonuses
🔁 Rolling interviews
👴🏻 No condescending treatment

Who we are

😼 We are a small but very competitive startup.
We are incredibly visionary. Decently competent. Reasonably funded. Subpar at sticking to deadlines.

• Cool af: What we are building and how we are doing it are one for the history books.
• Chill af: Work remotely, manage your own time, skip work when you need to.
• 0% BS: 0% political behaviour, 0% bureaucracy, 0% pedantry, 0% ass-kissing.
• Give & Take: We won’t take a bullet for you but we’ll never throw you under the bus either.
• Not a: Family. But not a toxic elite team either. Just… a competitive yet reliable company.

The role

💼 No fixed role or rank.
You’ll partner closely with our AI Research Scientist to turn cutting-edge prototypes into rock-solid production systems.

• Make the first move: Pitch how you’d bridge research and production.
• Expect negotiation: We’ll align on scope, timeline, and budget.
• Prove your worth: Show us past deployments, benchmarks, or scalable pipelines.

What you’ll do

⚙️ Build & ship models. Just that.
Take our research outputs and craft them into reliable, low-latency services.

• Fine-tune & benchmark state-of-the-art models (LLMs, vision, multimodal).
• Data pipelines: Ingest, preprocess and augment datasets at scale.
• Model serving: Containerize and deploy via FastAPI, Ray Serve or similar.
• MLOps: Automate training, validation, and rollout with CI/CD.
• Monitoring & observability: Track drift, latency, and throughput in real time.
• Collaboration: Sync with research on latent-space fusion and multi-agent prototypes.

How you’ll do it

🧠 Work smarter, not harder.
Automate, automate, automate. Do so with good taste, common sense and care.

• GPT: Ask our most senior and wisest advisor.
• Plan ahead: Plan first (even for yourself) → confirm when necessary → execute methodically.
• Be strategic: Not dogmatic. Not experimental. Choose results, find how to get them.
• Guidance: Collaborate directly with founder and exec advisors.
• Trends & best practices: Stay up-to-date with MLOps and deployment patterns…
• Notion: Organise info with our chef’s-kiss Notion content planner and other templates.
• Feedback: Iterate from metrics, logs, and team reviews.
• Rkive AI: Automate editing, publishing and analytics with our own tool.
• Toolbelt: PyTorch or TensorFlow (JAX a plus), Hugging Face Transformers, Ray Serve or FastAPI, MLflow or Weights & Biases, Airflow or Prefect, Docker & Kubernetes, Git.

Who you are

💍 We want true love, not a marriage of convenience.
We don’t care about your seniority—just your ability to deliver.

• Builder mindset: You live in terminals and CI logs.
• Hands-on coder: You’ve shipped at least one ML system to production.
• Data-savvy: You know how to wrangle, profile, and clean datasets.
• Infrastructure chops: You’ve containerized, orchestrated, and monitored services.
• Collaborative: You write clear docs, tests, and pull-requests.
• Analytical: You measure performance, spot bottlenecks, and optimize.

When

🏡 Join as early as June 1, 2025 & as late as July 1, 2025.
We’re building for the long haul.

• Rolling interviews: We interview (and hire) as CVs arrive. First come first served.
• Bonus: Performance-based cash bonuses.

What

👀 Show us something worth seeing.
But most importantly, show us YOU. A perfect CV will land you an interview, not a role.

• CV: Focus on impact and deployments.
• Portfolio: Live demos, repos, Terraform/K8s manifests…
• Recommendations: From teammates, managers, or collaborators.
• Cover letter: Tell us how you bridge research and production.

Apply

Not sure? Swipe left ❌
Sounds like a dream? Hit us up ✅ 😉
Send your resume, portfolio, and GitHub links to careers@rkive.ai