Machine Learning / AI Engineer – Absentia Labs, Inc.
Location : Remote | Team : Engineering | Type : Internship
At Absentia Labs, we're building intelligent systems to solve meaningful problems. From scientific research to next-generation infrastructure, we're driven by curiosity and rigor—and powered by technology. As an ML/AI Engineer, you'll help shape the foundations of products and systems that make a lasting impact. We seek a highly skilled candidate with a strong foundation in deep learning and a proven track record of deploying scalable models in real-world applications.
We believe innovation starts with collaboration, ownership, and relentless attention to quality. If you're excited to build and ship with purpose, we'd love to meet you.
What You'll Do
- Design, build, and scale core software systems
- Write clean, maintainable, and well-tested code
- Contribute to technical design and architectural decisions with clarity and context.
- Optimize for performance, reliability, and simplicity—especially in complex, high-scale environments.
About You
We're looking for curious, pragmatic builders who care about impact. This is not your typical internship—we're building something foundational, and you'll be at the heart of it. As such, you:
- Work on cutting-edge projects in AI-powered drug discovery, collaborating closely with scientists, engineers, and product thinkers.
- Direct mentorship from founders with experience at top institutions and/or companies
- A chance to own projects that influence our roadmap.
- A high-trust, low-ego culture focused on learning and impact.
- Top performers may be invited to join full-time or continue with deeper engagements.
You likely have
- 3+ years of hands-on industry experience in machine learning, deep learning, or artificial intelligence, focusing on production-grade systems.
- Deep expertise in Transformer architectures (e.g., BERT, GPT, ViT) and Diffusion Models (e.g DDPM, Flow matching, etc), with proficiency in implementation using PyTorch or Keras/TensorFlow.
- Demonstrated experience with training large-scale models on distributed datasets, with a deep understanding of data pipelines, optimization, and resource-efficient training.
- Strong problem-solving skills with the ability to identify, formulate, and implement innovative ML solutions in different settings.
- Excellent collaboration and communication skills.
- A curious and innovative mindset, with a passion for continuous learning and staying up-to-date with the latest research and trends in AI.
What We Offer
- A front-row seat to the future of drug discovery—you'll work directly on problems at the intersection of AI, biology, engineering, and physics.
- End-to-end exposure: from research to execution, strategy to implementation.
- Flexible work schedule with hybrid and remote options.
- We treat interns like team members: your insights will shape real decisions, not just slide decks.
- A supportive team that values learning, autonomy, and candor.
- The opportunity to help define the future of a company—and technology—that's just getting started.
- Competitive compensation and equity packages will be provided upon successful completion of the internship period.
Bonus If You Have
- Experience working in early-stage startups or fast-paced R&D environments.
- Familiarity with ML infrastructure, DevOps, or systems-level programming.
- Contributions to open-source projects or engineering blogs.
How to Apply
Please submit your resume and a few words about why this role resonates with you. If you have personal projects, writing samples, or GitHub links—include them!
Our Commitment
We believe diverse teams build better solutions. Absentia Labs is proud to be an equal opportunity employer. We encourage applications from candidates of all backgrounds, identities, and experiences.
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