About the Role
We're building the future of AI — and we're looking for talented people across the entire machine learning spectrum to join us. Whether you're just starting your career or you're a seasoned expert, if you're passionate about AI, we want to hear from you.
This is a flexible, multi-disciplinary role that spans machine learning engineering, generative AI, research, computer vision, NLP, and data science leadership. We'll tailor the position to your strengths, interests, and experience level — so you can do the best work of your career.
What You Might Work On
- Design, build, and deploy machine learning models at scale
- Develop and fine-tune large language models (LLMs) and generative AI systems
- Build and maintain MLOps pipelines, tooling, and infrastructure
- Conduct applied research in computer vision, NLP, or related areas
- Translate business problems into data science solutions
- Lead and mentor team members (for senior/managerial candidates)
- Collaborate cross-functionally with product, engineering, and business teams
Who We're Looking For
You might be a great fit if you have experience in any of the following:
- Machine Learning Engineering / MLOps
- Generative AI / LLM development
- AI Research
- Computer Vision and/or NLP
- Data Science or Data Science Management
Experience levels welcome:
- Entry-level / New grads — strong fundamentals, projects, coursework, or internships
- Mid-level — 2–5 years building ML/AI systems in production
- Senior / Lead — deep technical expertise and track record of impact
- Manager / Director — experience leading data science or ML teams
Minimum Qualifications
- Background in computer science, statistics, mathematics, engineering, or a related field (degree optional — skills matter more)
- Familiarity with at least one of: Python, ML frameworks (PyTorch, TensorFlow), data tooling
- Curiosity, willingness to learn, and a collaborative mindset
- Strong communication skills
Nice to Have (Not Required)
- Published research or open-source contributions
- Experience with cloud platforms (AWS, GCP, Azure)
- Familiarity with LLMs, transformers, or diffusion models
- Prior experience in a fast-paced startup or scale-up environment
What We Offer
- Competitive compensation (commensurate with experience)
- Remote-friendly / flexible work arrangements
- Learning budget and conference support
- Opportunity to work across multiple AI domains
- Clear growth paths — from IC to leadership
How to Apply
Don't self-reject! If you're excited about AI and meet some — not all — of the above, we'd love to hear from you.
Send your resume, GitHub, portfolio, or just a note about what you'd like to work on.