Build the future of
context-aware intelligence.

Junior AI / ML Engineer (Audio)

Calyp is an early-stage deeptech startup building context-aware intelligent wearable systems. Our current focus is Eventag, a wearable device designed to understand and interpret context from ambient sound in real-world environments. We're a small, focused team that values deep thinking, fast iteration, and building technology that is both technically rigorous and genuinely useful.

We're looking for an early-career AI & ML Engineer to help us build the core audio intelligence layer of Eventag. You'll work on the signal processing and classification pipeline, from raw audio onset detection through to semantic event labelling, and contribute to making it run efficiently on constrained wearable hardware.

This is a hands-on research engineering role. You'll be in the weeds of data, models, and edge deployment. If you find audio ML genuinely exciting, this is the right place. We value strong fundamentals and curiosity more than work experience.

What you'll do

• Develop and optimise ML pipelines for acoustic event detection and classification, including onset detection, segmentation, and feature extraction.
• Fine-tune and adapt pre-trained audio models (such as YAMNet) for real-world wearable use cases.
• Build and maintain data pipelines for collection, annotation, augmentation, and dataset versioning.
• Implement temporal smoothing, event aggregation, and confidence-based decision logic for robust real-world predictions.
• Run structured experiments, benchmarks, and evaluations; document findings reproducibly.
• Help build and curate evaluation datasets from naturalistic real-world recordings.
• Stay up to date with developments in audio ML and context-aware computing, and bring relevant ideas into the team.
• Contribute to experiment logs, technical documentation, and grant/research reports when needed.
• Take ownership of parts of the core audio intelligence stack and help shape technical decisions from an early stage.

What we're looking for

• Solid Python skills and comfort working with PyTorch or TensorFlow, scikit-learn, and standard ML experimentation workflows.
• Understanding of audio signal processing and experience with libraries such as librosa, torchaudio, or similar.
• Familiarity with concepts such as spectrograms, MFCCs, onset detection, segmentation, temporal smoothing, and acoustic event classification.
• Familiarity with pre-trained audio architectures such as YAMNet, VGGish, PANNs, BEATs, Wav2Vec2, or similar is a strong plus.
• Comfortable building preprocessing and annotation pipelines, managing datasets, and running reproducible experiments.
• Understanding of model evaluation metrics such as precision/recall, F1-score, confusion matrices, and cross-condition validation.
• Interest in building models that generalise across noisy, real-world environments rather than only curated datasets.
• Can read scientific papers, implement baselines, extract practical insights, and communicate findings clearly.

Who you are

• You have a background in ML, signal processing, or a related field, through coursework, a thesis, or personal projects. We don't require years of industry experience.
• You're curious about how AI can understand the physical world through sound, and excited to work on a product that does exactly that.
• You're proactive: if you hit a wall, you read, experiment, and come back with options rather than waiting to be unblocked.
• You're comfortable working in a very small, fast-moving team where roles aren't rigid and everyone shapes the direction.

Marketing & Growth Associate

Eventag is building context-aware intelligence for mobile brain research. This role is under Calyp, and you'll be joining the Eventag team directly. This is a ground-floor opportunity to build the marketing engine of a company operating at the intersection of AI, neuroscience, and wearable technology.

We're looking for a curious, resourceful marketing generalist to own Eventag's online presence and help us build awareness in the academic neuroscience and neurotechnology community. This role is ideal for someone who is excited about working at the intersection of deep tech and science, wants to learn fast, and is comfortable figuring things out without a playbook.

What you'll do

SEO & Web Presence

• Build and manage Eventag's website content and blog (eventag.ai)
• Research keywords relevant to mobile EEG, neurotechnology, biosignal research, and wearable devices
• Write and optimise SEO-driven content: blog posts, landing pages, product descriptions
• Track organic search performance using free/affordable tools (Google Search Console, Google Analytics)
• Build backlink opportunities through research publications, directories, and partner sites

Social Media & Community

• Manage Eventag's LinkedIn, X (Twitter), and any other relevant channels
• Create and schedule regular posts: product updates, research insights, team milestones, industry commentary
• Engage with the neuroscience and neurotechnology community online — researchers, labs, conferences, publications
• Grow Eventag's follower base and engagement organically (no paid ads budget for now)

Content & Communications

• Draft newsletters, email campaigns, and outreach templates
• Help create pitch materials, one-pagers, and visual assets for conferences and investor conversations
• Maintain a consistent brand voice across all channels

Sales Support & Outreach

• Support the founding team with lead research and outreach preparation
• Help manage and update CRM / lead tracking tools (currently Clay)
• Research target institutions, labs, and conferences for outreach campaigns
• Track and report on outreach metrics

General Marketing Operations

• Set up and maintain marketing analytics and reporting
• Research and recommend tools, platforms, and channels
• Stay current on what's happening in neurotech, mobile EEG, and AI — and surface opportunities

Must-haves

• Strong English writing skills — you can explain complex technology in clear, engaging language
• Basic understanding of SEO principles (keyword research, on-page optimisation, content strategy)
• Experience managing social media accounts (personal or professional — we care about quality, not job titles)
• Comfortable with tools like Google Analytics, Canva, LinkedIn, and basic email marketing platforms
• Self-starter mentality — you don't wait to be told what to do
• Genuine curiosity about science, technology, or healthcare (you don't need a neuroscience degree, but you should find this space interesting)

Nice-to-haves

• Experience at an early-stage startup or in a role where you wore multiple hats
• Familiarity with CRM tools (HubSpot, Clay, Apollo, or similar)
• Basic graphic design skills (Canva, Figma, or similar)
• Exposure to academic or research communities
• Understanding of B2B marketing or selling to institutions
• Video editing or short-form content creation skills

What we offer

• Direct access to the founding team — your ideas will be heard and implemented, not buried in a hierarchy
• Flexibility to work remotely from anywhere in India
• Exposure to cutting-edge neuroscience, AI, and hardware development
• Mentorship and learning opportunities across marketing, sales, product, and strategy