Job Title: UI/UX Designer — Research & UX Writing Location: Remote Type: Full-time Role Purpose Lead user research and own the product's language. You will: Plan and run studies, synthesize insights, and design flows. Craft clear, empathetic microcopy (names, labels, tooltips, empty/error states). Prototype solutions, validate with users, and partner with engineering/product to ship measurable improvements in comprehension, task success, and conversion. Non-Negotiables Experience: 3+ years in product design/research, including demonstrable UX writing/content design for shipped products. Research excellence: Plan and conduct interviews, surveys, copy tests, and usability studies; create screeners/scripts; run tree/card sorts; synthesize findings into problem statements and prioritized opportunities. UX writing & content design: Establish voice & tone, terminology, and naming patterns; write concise, inclusive, and actionable microcopy for critical paths; maintain a style guide and message map. Interaction design fundamentals: Task flows, IA, low→high fidelity; consider edge/empty/error/loading states early. Prototyping & testing: Interactive prototypes in Figma; remote testing tools; iterate based on evidence. Accessibility & inclusivity: Plain language, WCAG-minded decisions (contrast, focus, keyboard, motion), and inclusive wording. Data-informed decisions: Define UX and copy metrics (task success, time-to-complete, comprehension/recall, drop-off), set baselines, partner on A/B tests, and track impact after release. Handoff quality: Provide precise specs and annotations (content guidelines, character limits, states) so developers can implement without guesswork. Nice to Have Localization and terminology management. Motion/micro-interactions to reinforce meaning. Experience designing experiments and guardrail metrics. Basic front-end awareness (HTML/CSS/React concepts) to assess feasibility. Writing for AI/chat flows and conversational UI.
Job Title: Senior Speech & Audio ML Engineer Location: Remote Type: Full-time Salary Range: $2,500–5,500 USD / month Role Purpose We are looking for a Senior ML Engineer to build and ship core models for a speech-driven behavioral engine. You will own end-to-end modeling from raw, long-form audio and layered annotations to production inference. Responsibilities include: Designing audio features and embeddings. Training and evaluating a suite of models. Delivering reproducible pipelines that meet targets for accuracy, robustness, latency, and cost. Non-Negotiables Experience: 5+ years building production ML systems, including 2+ years in speech/audio. Speech & Signal Processing: VAD, diarization, segmentation, denoising, spectral features (log-mel/MFCC), prosody (pitch/energy), long-form audio handling. SOTA Audio Models & Embeddings: Wav2Vec2, HuBERT, wavLM (or similar); fine-tuning/self-supervised learning; contrastive/metric learning for downstream tasks. Data Engineering & Quality: SQL, Python data stack (Pandas/Polars), ETL for audio + metadata, stratified sampling, leakage prevention, feature stores. Evaluation Discipline: Golden sets, robust speaker/content splits, ROC/PR/calibration, fairness/bias checks, ablations, drift/shift detection on embeddings and audio quality. MLOps, Serving & Reproducibility: FastAPI/gRPC around HF/torchaudio models, experiment tracking (W&B/MLflow), artifact/model versioning, CI/CD, observability, scalable batch/streaming inference. Proven ability to create and document novel IP (methods, architectures, or training/eval techniques) with clear prior-art awareness. Nice to Have Tooling: SpeechBrain, Lightning, OpenSMILE/Praat, Kaldi/Conformer/Emformer, Label Studio. Multimodal Skills: ASR (e.g., Whisper) + paralinguistic features; emotion/prosody modeling; speaker embeddings (x-vectors, ECAPA-TDNN). Performance & Deployment: Quantization/distillation, Triton/CUDA basics, distributed training, real-time/streaming inference, on-device DSP (Rust/C++). Publications/Patents/Competitions: Demonstrating novel audio modeling work.