About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job PhD Research Intern — Speech AI Centific AI Research Fulltime - 40 hours per week Summary Centific AI Research seeks a PhD Research Intern to design and evaluate speech‑first models, with a focus on Spoken Language Models (SLMs) that reason over audio and interact conversationally. You’ll move ideas from prototype to practical demos, working with scientists and engineers to deliver measurable impact. Scope of Work - End‑to‑end speech dialogue systems (speech‑in/speech‑out) and speech‑aware LLMs. - Alignment between speech encoders and text backbones via lightweight adapters. - Efficient speech tokenization and temporal compression suitable for long‑form audio. - Reliable evaluation across recognition, understanding, and generation tasks—including robustness and safety. - Latency‑aware inference for streaming and real‑time user experiences. Example Projects - Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM; compare against strong baselines. - Create a data recipe that blends conversational speech with instruction‑following corpora; run targeted ablations and report findings. - Build an evaluation harness that covers ASR/ST/SLU and speech QA, including streaming metrics (latency, stability, endpointing). - Ship a minimal demo with streaming inference and logging; document setup, metrics, and reliability checks. - Author a crisp internal write‑up: goals, design choices, results, and next steps for productionization. Minimum Qualifications - PhD candidate in CS/EE (or related) with research in speech, audio ML, or multimodal LMs. - Fluency in Python and PyTorch, with hands‑on GPU training; familiarity with torchaudio or librosa. - Working knowledge of modern sequence models (Transformers or SSMs) and training best practices. - Depth in at least one area: (a) discrete speech tokens/temporal compression, (b) modality alignment to LLMs via adapters, or (c) post‑training/instruction tuning for speech tasks. - Strong experimentation habits: clean code, ablations, reproducibility, and clear reporting. Preferred Qualifications - Experience with speech generation (neural codecs/vocoders) or hybrid text+speech decoding. - Background in multilingual or code‑switching speech and domain adaptation. - Hands‑on work evaluating safety, bias, hallucination, or spoofing risks in speech systems. - Distributed training/serving (FSDP/DeepSpeed), and experience with ESPnet, SpeechBrain, or NVIDIA NeMo. Tech Stack - PyTorch, CUDA, torchaudio/librosa; experiment tracking (e.g., Weights & Biases). - LLM backbones with lightweight adapters; neural audio codecs and vocoders as needed. - FastAPI/gRPC for services; ONNX/TensorRT and quantization for efficient inference. What We Offer - Competitive stipend and hands-on projects with measurable real-world impact. - Mentorship from applied scientists and engineers; opportunities to publish and present. - Access to modern GPU infrastructure and a supportive environment for fast, responsible experimentation. - Flexible location and schedule options, subject to team needs. Benefits: - Comprehensive healthcare, dental, and vision coverage - 401k plan - Paid time off (PTO) - And more! Learn more about us at centific.com. Hourly Rate : $40/hr Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

• Own and execute end-to-end research and engineering projects, from hypothesis to production impact • Developing and scaling latent video diffusion models tailored for human-centric video generation • Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity • Advancing distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) under real compute constraints • Improving training stability at multi-node scale • Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation • Optimizing inference for low latency, high resolution, and cost efficiency • Running controlled ablations and experiments to drive high-signal modeling decisions • Contributing to high engineering standards: reproducibility, experiment tracking, CI/CD, monitoring

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This is a remote position. Basic Function: - Work as part of a multi-disciplinary team to support Research and Development (R&D) tax credit consulting services. - The Associate works closely with Project Managers, Directors, and Clients to ensure accurate information is documented and logged. - Duties include: - Assisting with kickoff calls and client interviews - Coordinating data gathering - Supporting credit calculations - Preparing project documentation - Developing foundational knowledge of R&D tax credit regulations and applications by industry Position’s Intention: - The R&D Associate is an entry-level position that supports Project Managers in executing R&D tax credit studies. - The Associate handles data gathering, client coordination, and documentation preparation while developing foundational knowledge of R&D tax credit regulations and study methodology under the guidance of team members. Success Measurements: - Client engagement - Client satisfaction - Production target goals Essential Duties: - Review engagement letters for completeness, document project scope, and track project due dates. - Create and maintain project folders and update project listings on the R&D project board. - Coordinate kickoff communications between clients and assigned Project Managers via scheduled calls or email. - Participate in client interviews alongside Project Managers to observe operations, learn R&D identification methodology, and document Qualifying Research Activities. - Gather and organize technical and financial data from clients, including payroll records, project documentation, and technical specifications. - Assist Project Managers with data analysis, data validation, and preparation of calculation templates for credit computations. - Research relevant technical and industry-specific topics as directed by Project Managers to support study documentation. - Prepare draft sections of client reports under Project Manager guidance, including documentation of Qualifying Research Expenditures and Activities. - Collaborate with quality control, client relations, accounting, and tax controversy departments to ensure smooth project workflow. - Maintain regular communication with clients to request supporting documentation and provide status updates as directed by Project Managers. - Support the development and maintenance of excellent client relationships through responsive and professional communication. - Develop foundational knowledge of R&D tax credit regulations at federal and state levels and credit applicability across various industries. Qualifications - Strong analytical, planning and problem solving capabilities - Demonstrate initiative and ability to work independently with minimal supervision required - Interpersonal and soft skills that motivate trust, teamwork and transparency - Bachelor’s Degree in Accounting or related field; or - Zero (0) to One (1) year related experience and/or training; or equivalent combination of education and experience Requirements - Ability to write reports, business correspondence - Ability to effectively present information and respond to questions from managers, clients, customers, and the general public - Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists - Ability to interpret a variety of instructions furnished in written, oral, or schedule form - Knowledge of Microsoft Office, PDF editing software Benefits - Medical, Dental, Vision, STD, LTD, Basic Life, Vol Life - HSA, FSA, Accident, Critical Illness, Hospital Indemnity - Doctegrity, Pet Insurance - 401k and much more!

Research Engineer Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D Role Overview Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation. The Research Engineer enables applied research through technical system construction. This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints. The Research Engineer operationalizes research velocity. Core Mandate The Research Engineer is accountable for: - Building research prototypes and sandbox environments - Developing evaluation tooling for decision systems - Implementing experimental system architectures - Enabling fast iteration between theory and validation - Maintaining technical research infrastructure This role bridges conceptual research and system reality. Key Responsibilities Prototype Development - Implement experimental decision pipelines - Build modular, testable research architectures - Translate conceptual models into runnable systems Research Tooling & Infrastructure - Create evaluation frameworks for reasoning outputs - Build simulation environments for controlled testing - Develop benchmarking systems for decision performance Experiment Enablement - Implement A/B logic and structured experiment tracking - Optimize iteration cycles for research testing - Ensure reproducibility of experimental results System Integration Support - Collaborate with Decision Research Scientists to encode models - Provide technical validation of research concepts - Identify engineering constraints early Role Impact Strong performance in this role results in: - Faster research iteration cycles - More reliable prototype validation - Reduced gap between research and production - Higher experimental rigor This role accelerates Rwazi’s long-term capability development. What This Role Is Not - This is not product feature engineering - This is not maintenance development - This is not short-term optimization This role builds experimental systems. Qualifications and Profile We are looking for individuals who demonstrate: - Strong software engineering fundamentals - Experience building experimental or prototype systems - Comfort working in ambiguous research environments - Ability to balance speed and technical rigor - Familiarity with AI pipelines or decision architectures Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles. How Candidates Are Evaluated Candidates are evaluated based on: - Their ability to rapidly implement experimental systems - Technical clarity and modularity of their code - Comfort working with incomplete specifications - Understanding of evaluation logic and system validation - Ability to collaborate with research-oriented thinkers Summary The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems. If you'd like, we can next define: - Decision Systems Fellow (elite individual contributor track) - AI Evaluation & Alignment Lead - Advanced Simulation Architect - Future Platforms Lab