AI Research Scientist
- Role
- Research
The listing doesn't say where it hires from. Check the description or the employer's site before applying.
No BS summary
AI Research Scientist with deep experience in NLP or ML, strong LLM optimization knowledge, and Python programming skills. Must have a solid understanding of linear algebra, probability, and statistics. Upper-intermediate English or higher required for scientific writing and collaboration.
Core skills
Required skills
Optional skills
Required languages
Tellent Recruitee is a customizable, easy-to-use Applicant Tracking System (ATS) and recruitment software that helps recruitment teams hire faster, stay aligned, and make better hiring decisions — all in one place.
It covers the full recruitment journey: building your careers site, posting jobs, screening candidates, collaborating with hiring managers, sending offer letters, and handing off new hires to your HRIS. Trusted by 7,000+ companies and 180,000+ daily users across 120+ countries.
Tellent Recruitee is built for growth-stage and mid-market organizations, typically between 50 and 1,000 employees, at the point where hiring is accelerating, and informal processes no longer keep up.
It's used by two main groups: business leaders in smaller organizations who own hiring without a dedicated HR function, and growing People and Talent teams — recruiters, hiring managers, and Heads of HR, People, or Recruitment — who need everyone working from the same process.
If you're managing multiple open roles, coordinating with hiring managers, and trying to build a consistent, scalable process, Tellent Recruitee is built for you.
Most teams come to Tellent Recruitee with one or more of these problems:
- Hiring scattered across spreadsheets and inboxes
- Hiring managers giving feedback late — or not at all
- No visibility into where candidates stand at any given moment
- Too much time lost to admin and repetitive manual tasks
- No reliable way to show hiring impact to leadership
- Slow or impersonal candidate communication — candidates left waiting, responses are generic
- Hiring decisions based on gut feeling, not data
Tellent Recruitee brings structure, automation, and collaboration into one place, so your team spends less time managing the process and more time on the people.
Yes. Tellent Recruitee connects with 200+ tools via the Tellent Marketplace — including HRIS platforms, calendars (Google, Outlook), video conferencing tools (Zoom, Teams, Google Meet), job boards, LinkedIn, and more.
For custom setups, you can also use the API and webhooks to build exactly the integrations your team needs.
Browse integrations on the Tellent Marketplace →
Yes, and that's what it's purposefully built for. Tellent Recruitee brings everything into one place — candidate data, hiring manager feedback, interview scheduling, team communication, job posting and promotion, and reporting — so nothing gets lost across spreadsheets, inboxes, and shared drives.
Everyone works from the same information, and repetitive steps are automated. In a survey of our customers, 94% reported significantly fewer manual tasks after switching to Tellent Recruitee.
Pricing is based on the plan you choose (Start, Advance, or Optimize), your organization's size, and your billing period. Paying annually gives you a 20% discount. All plans require a minimum one-year commitment, with the option to pay monthly.
To get a price tailored to your team, book a 30-minute demo or visit our pricing page to see our plans and packaging. Want to build a business case first? Use our ROI calculator to estimate your potential savings.
Here's what sets us apart:
- Unlimited users on all plans: no per-seat pricing that discourages collaboration
- Built around your process, not the other way around: customize pipelines, workflows, templates, and settings to match how your team already hires
- Fully branded candidate experience: your careers site runs on your own domain, with no vendor branding in candidate touchpoints
- Built in Europe, compliant globally: GDPR at its core, SOC 2 and ISO 27001 certified, with support for EEOC in the US
- Native WhatsApp integration: candidates can apply and communicate via WhatsApp, with no third-party tool required
- A platform people actually want to use: no IT or training required; intuitive enough for hiring managers, powerful enough for recruiters
- Part of Tellent's modular People Decision Platform: start with recruiting, and add Core HR and performance management when you're ready, all on the same system
See why 7,000+ companies choose Tellent Recruitee →
What you'll do
- Prepare fundamental research proposals within our specialized LLM efficiency and optimization streams.
- Investigate new directions in LLM optimization by surveying relevant academic publications, formulating hypotheses, and running deep-dive experiments.
- Collaborate closely with internal research scientists and external academic labs on joint research projects and scientific publications.
- Work alongside the applied research stream to surface, validate, and transition relevant research prototypes into downstream production environments.
- Contribute to a strong publication record at top-tier international AI conferences.
- Take full ownership of your research niche, driving initiatives from ideation to implementation with a high degree of independence and autonomy.
- Take part in internal knowledge-sharing sessions and weekly paper clubs to consistently improve domain expertise.
What they require
- Deep experience in Natural Language Processing (NLP) or a similar machine learning domain, gained through solid academic work, industry experience, or both.
- Strong theoretical and practical understanding of recent LLM optimization techniques (ex. quantization, KV-cache compression, speculative decoding, and distillation).
- Direct hands-on experience with parameter-efficient fine-tuning (including LoRA and other adapters) and mixture-of-experts (MoE) architectures.
- Advanced prototyping skills and a proven ability to implement complex algorithms and architectures directly from academic papers.
- Fluent programming capabilities in Python and modern frameworks such as PyTorch, JAX, or TensorFlow.
- Robust fundamental knowledge of linear algebra, probability theory, and mathematical statistics.
- Upper-intermediate level of English or higher for active scientific writing, international lab collaboration, and conference presentations.
- A track record of publishing original research at international research conferences in AI/ML/SE/HCI domains.
- Practical experience in performance engineering, including code profiling and low-level optimization (GPU, Metal, C++...).
- Hands-on experience training, running, or deploying localized LLM models on device frameworks like MLX.
The company behind CleanMyMac, Setapp, ClearVPN, and a growing ecosystem of products used by millions of people worldwide.