CAREERSFORGE / YOUR NEXT MOVE
Ignis Your Career Coach & Workspace
See what you’ve practiced, what your resume demonstrates, and what to work on next.
Your next career move starts here
Your free AI career coach. Choose a goal, work through your next step, and return to review your progress.
Try it as a guest. Save Progress creates an account for your recorded activities and conversation history.
Readiness · Getting started
Activities recorded · 0
PRIVATE, IN-BROWSER TOOL
Decode a Rejection Email
Paste only what you’re comfortable reviewing. This tool matches common wording in your browser; it does not save the email, send it to AI, or know why the employer made its decision.
Wording found in the email
Possible meaning — not a fact about this decision
Three practical next steps
60-SECOND CLARITY ROUND
Spot the Red Flag
These are illustrative practice snippets, not quotes from real employers. A phrase alone does not prove a workplace is harmful; use it as a prompt to ask for specifics.
Choose the wording that needs a follow-up question. Clear scope, documented onboarding, and reasonable boundaries are useful context too.
Use the explanation as a conversation starter, not as a verdict on a company.
Quick Start: How Ignis Works
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1. Build or Scan
Create or review a resume.
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2. Train Your Focus
Try a short exercise and review your practice score.
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3. Consult Ignis
Use your recorded results to plan a next step.
Your next step with Ignis
Ask Ignis to connect your recorded results and suggest one practical next step.
Your next step starts here
Your performance radar unlocks after your first recorded activity. Complete a 2-minute mock interview or scan a resume to generate your report.
Career Health Radar
Complete a resume review or a Brain Training session to see your results here.
Readiness labels summarize recorded practice. They are planning cues, not hiring predictions or a measure of job suitability.
Strengths and priorities
Complete a resume review to see strengths and improvement priorities.
Open Interview Practice →Top matched roles
Compare your evidence with a role in Job Radar to calculate a match.
Activity mix
Your next step starts here
Your practice dashboard unlocks after your first recorded activity. Begin with a short interview or resume review, then explore your daily sprint and training.
Daily Career Sprint
Daily Confidence Pill
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Optional: breathe in for 4 seconds, then out for 4.
TODAY’S CHALLENGE
One small practice, chosen for today
Build a little momentum with a short reasoning exercise or a job-description clarity round.
Brain Training
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Skill scores average the latest result from each played exercise in that category. Open a category to see each exercise.
YOUR ROLE, YOUR NEXT MOVE
Job Radar
Explore published opportunities, filter by your priorities, and open a listing to review its requirements and apply. Choose “Open match details in Workspace” to compare your analyzed resume with the role and plan your next step.
Tool preparation
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Open roles
1,467 jobs found · Showing 1–12
ROLE MATCH
Research Scientist, Real-Time Video Generation at Cantina Labs
Review your resume for this role →
{"title":"Research Scientist, Real-Time Video Generation at Cantina Labs","requirements":[],"description":"About Cantina\nCantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.\nIf you\u0027re excited about the potential AI has to shape human creativity and social interactions, join us in building the future!\n\nAbout the Role\nWe\u2019re working on real-time video generation for interactive characters, spanning realistic humans, stylized characters, and non-human identities. We want these characters to feel present: to speak, react, and express themselves through their face, gestures, and body language.\nThis brings together a set of closely connected research problems. A character needs a consistent appearance, expressive and coherent motion, and a natural relationship between speech and movement. The model also needs to respond quickly and keep generating reliably as an interaction unfolds. Quality, controllability, and efficiency all matter.\nYou\u2019ll work across streaming generation, fine-tuning, distillation, inference optimization, and data. Some problems will call for a new training approach; others will come down to better examples, a more useful evaluation, or understanding a bottleneck in the implementation. Part of the job is figuring out which intervention is worth making.\nYou\u2019ll have substantial freedom to propose directions, investigate unfamiliar ideas, and shape what we work on next. We\u2019re looking for someone who enjoys that freedom and can turn it into a steady sequence of useful experiments.\n\nWhat You\u2019ll Work On\n\n\nReal-time and streaming generation. Develop models that support responsive interaction while maintaining visual quality and consistency over time. Investigate latency, continuity, and how model behavior changes during longer generation.\n\n\nCharacter expression and motion. Explore how appearance, facial expression, gesture, and body movement come together into a coherent character. Improve the relationship between speech and motion across different identities and visual styles.\n\n\nFine-tuning and post-training. Adapt video models to new data, behaviors, and capabilities. Investigate training objectives and conditioning methods, and follow promising ideas through implementation and evaluation.\n\n\nDistillation and inference optimization. Make generation faster and more efficient. Work across model-level approaches and runtime improvements, measuring their effects on quality, latency, and memory.\n\n\nData development. Spend meaningful time with the actual training examples. Identify missing coverage and recurring failure modes, improve curation and sampling, and develop data that helps models learn the behavior we want.\n\n\nEvaluation. Build comparisons that make progress visible and failures understandable. Combine quantitative measurements with careful inspection of generated video and the experience of interacting with the model.\n\n\nResearch and collaboration. Read relevant work, reproduce and adapt useful ideas, and share early experiments, demos, and findings. Help the team decide what deserves more time and compute.\n\n\nWhat You\u2019ll Bring\n\n\nExperience training or fine-tuning video or related generative models.\n\n\nAbility to learn unfamiliar methods quickly and turn ideas into useful experiments.\n\n\nGood experimental judgment, ownership, and clear communication.\n\n\nYou\u2019ll have freedom to explore new approaches. We expect fast iteration and early sharing of results.\n\nCompensation\nWhen determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.\nBenefits for U.S.-based roles:\n\n\nCompetitive salary and generous company equity\n\n\n\n\nMedical, dental, and vision insurance \u2013 99.99% of premiums covered by Cantina\n\n\n\n\n42 days of paid time off, including:\n\n\n15 PTO days\n\n\n10 sick days\n\n\n15 company holidays\n\n\n2 floating holidays\n\n\n\n\n\n\nGenerous parental leave \u0026amp; fertility support\n\n\n\n\n401(k) retirement savings plan\n\n\n\n\nLifestyle spending account \u2013 $500\/month to use however you\u2019d like\n\n\n\n\nComplimentary lunch and snacks for in-office employees\n\n\n\n\nOne Medical membership, and more!"}0%
Resume evidence match
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The percentage summarizes matching terms in the resume and role criteria. Review the requirements, experience level, qualifications, and application instructions before applying.
Analyze my resume →Signals found in your resume
Signals to review or strengthen
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