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Senior / Lead Research Scientist - Serbia

Join Inworld AI as a Lead Research Scientist to innovate in real-time voice models and AI applications.

Location
Serbia
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 6 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

AI in the day-to-day

Our models power consumer-facing AI applications across various categories, impacting millions of users.

Requirements

Education
PhD

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

Inworld AI seeks a Senior or Lead Research Scientist to tackle complex problems in real-time voice model development, focusing on areas such as training, evaluation, and multimodal systems. Candidates should possess a strong foundation in machine learning and natural language processing, with a track record of impactful research or practical experience. This role is ideal for innovative thinkers who thrive in ambiguous environments and prioritize delivering tangible results over traditional academic outputs. The company fosters a collaborative atmosphere where researchers are encouraged to take ownership of their projects.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Machine Learning, Multimodal Models, Natural Language Processing, evaluation, reinforcement learning.
What seniority level is this role?
Inworld AI targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Senior / Lead Research Scientist - Serbia role at Inworld AI.

From the original posting

About Inworld

Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.

Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.

We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.

Who We're Looking For

A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.

Experience We Find Useful

You don't need all of this. But you need enough to make a case.

  • Foundation models: training, new architectures, RL, reward modeling, scaling

  • Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis

  • Frontier topics: multimodal models, agents, tool use, test-time compute, world models

  • Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI

  • PhD in ML/NLP — or equivalent practical experience you can point to

  • Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions

  • Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result

If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials.

Who Thrives Here

  • Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.

  • Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output.

  • First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem.

  • Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.

What Working Here Is Like

We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.

We don't need a cover letter. A link to something you've built tells us more.


Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.

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