WittyByte Logo WittyByte
WittyByte Logo

Machine Learning Engineer

💰 $150,000 - $230,000 🌍 San Francisco, California 📅 09/25/2025

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Job Description

**About WittyByte**

WittyByte is the AI-powered career coach specifically designed for Machine
Learning and AI Engineers targeting MAANGO companies (Meta, Amazon, Apple,
Netflix, Google, OpenAI). Our platform (wittybyt.ai) leverages cutting-edge AI
agents to provide personalized interview preparation, skill assessment, and
career guidance to help engineers land their dream jobs at top tech companies.

We're on a mission to democratize access to elite tech careers by making
world-class interview prep and career coaching available to everyone.

**The Role**
We're seeking a passionate Machine Learning Engineer to join our team and
build the AI systems that power our coaching platform. You'll be developing
intelligent agents that can conduct mock interviews, provide personalized
feedback, analyze coding performance, and create adaptive learning paths for
our users.
This is a unique opportunity to build AI that directly impacts people's
careers and helps them achieve their professional dreams at the world's most
prestigious tech companies.

**Key Responsibilities**
AI Agent Development

Build conversational AI agents for technical interview simulation (coding,
system design, ML theory)
Develop NLP models for resume optimization and job description matching
Create personalized recommendation engines for skill development and learning
paths
Implement AI-powered feedback systems for coding challenges and interview
performance

**Interview Intelligence Platform**

Design ML models to analyze interview performance and identify improvement
areas
Build real-time coding assessment tools with intelligent hints and guidance
Create adaptive question generation systems based on user skill level and
target companies
Develop sentiment analysis and communication coaching features

**Data Science & Analytics**

Analyze user learning patterns and success metrics to improve platform
effectiveness
Build predictive models for job placement success and salary negotiations
Create dashboards and insights for users to track their interview readiness
Implement A/B testing frameworks for coaching strategy optimization

**Platform Infrastructur** e

Scale ML inference systems to handle real-time interview simulations
Build robust data pipelines for processing interview data and user
interactions
Implement model versioning and continuous deployment for AI coaching models
Optimize system performance for low-latency conversational AI experiences

Research & Innovation

Stay current with MAANGO interview trends and technical requirements
Experiment with latest AI technologies (LLMs, multimodal AI, reinforcement
learning)
Collaborate with career coaches to translate human expertise into AI systems
Contribute to technical content and thought leadership in AI career coaching

**Required Qualifications**
Technical Skills

3+ years of ML engineering experience with production AI systems
Strong expertise in NLP, conversational AI, and LLM fine-tuning
Python mastery with deep learning frameworks (PyTorch, TensorFlow,
Transformers)
Cloud platform experience (AWS/GCP) with ML services and deployment
Real-time systems experience for low-latency AI applications
API development skills for integrating AI models with web platforms

Domain Knowledge

Deep understanding of technical interview processes at top tech companies
Experience with coding interview platforms and assessment tools
Knowledge of computer science fundamentals (algorithms, system design, ML
theory)
Familiarity with career coaching or educational technology domains
Understanding of personalized learning and adaptive assessment systems

AI/ML Expertise

Experience with large language models and prompt engineering
Knowledge of recommendation systems and personalization algorithms
Familiarity with reinforcement learning for adaptive learning systems
Understanding of multimodal AI (text, code, speech) for comprehensive coaching
Experience with model evaluation and human feedback integration

**Preferred Qualifications**

Personal experience interviewing at MAANGO companies (successful or not!)
Previous work in EdTech, career services, or interview preparation platforms
Open-source contributions to AI/ML tools or educational platforms
Teaching or mentoring experience in technical subjects
Startup experience in high-growth environments
Publications or research in AI for education or human-computer interaction

What We Offer
**Mission-Driven Impact**

Directly help thousands of engineers achieve their career dreams
Build AI that makes elite tech careers more accessible and equitable
Work on problems that combine cutting-edge AI with real human impact

**Compensation & Growth**

Competitive salary with significant equity in a fast-growing startup
Performance bonuses based on user success metrics and platform growth
$6,000 annual learning budget for courses, conferences, and certifications
Career advancement opportunities as we scale

**Technical Excellence**

Work with state-of-the-art AI technologies and research
Access to premium tools, datasets, and computing resources
Collaboration with AI researchers and career coaching experts
Freedom to experiment and innovate with bleeding-edge technologies

**Culture & Benefits**

Remote-first with optional access to SF office and co-working spaces
Flexible hours and unlimited PTO policy
Comprehensive health benefits and mental health support
Quarterly team retreats and annual company offsites
Free access to our platform for your own career development!

**Why This Role is Special**
🎯 Direct Impact: Your code directly helps people land $200K+ jobs at dream
companies
🤖 Cutting-Edge AI: Work with the latest LLMs, conversational AI, and
personalization tech
📈 Market Opportunity: $50B+ market for career development and technical
education
🚀 Growth Stage: Join early and shape the future of AI-powered career coaching
Ready to Help Others Land Their Dream Jobs?
If you're passionate about using AI to unlock human potential and want to
build technology that changes lives, we'd love to meet you!