AI/ML Engineer

Description

Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years.

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 450+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”.

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).

Do you want to join the party?

Responsibilities

We are looking for an engineer who combines strong data science expertise with solid software engineering skills. The role covers the full development cycle of ML and GenAI-driven features — from initial assessment and modeling to deployment and ongoing production monitoring.

The ideal candidate is comfortable operating across multiple domains within a single project and takes end-to-end ownership of delivered solutions.

• Own ML/AI scoping for new product initiatives: feasibility assessment, data requirements, and technical approach proposal
• Design, develop, and validate ML models and GenAI-based solutions appropriate to the business problem
• Deliver reference implementations of model services (APIs, pipelines) ready for engineering integration
• Participate in deployment planning: rollout strategy, A/B testing setup, infrastructure requirements
• Define and maintain production monitoring: model quality metrics, drift detection, alerting
  
  
  

Requirements

Data Science & Machine Learning

• Solid ML fundamentals and practical experience with model selection, feature engineering, validation, and calibration
• Statistical fluency: A/B testing, metric design, basics of causal inference
  
  
  

Generative AI

• Practical experience building GenAI-powered features: prompt engineering, RAG architectures, LLM integration
• Strong focus on evaluation and quality measurement: ability to design eval pipelines, define quality metrics for generative outputs, detect regressions, and measure improvement across model versions
• Understanding of GenAI failure modes and how to make them observable in production
  
  
  

Software Engineering

• Python as primary language: production-quality code, packaging, testing, async
• Python ecosystem fluency across the full stack: data layer (pandas, polars, numpy), classical ML (scikit-learn, XGBoost/LightGBM), deep learning (PyTorch, HuggingFace transformers), GenAI/Agentic orchestration tooling
• SQL at an advanced analytical level: complex aggregations, window functions, query optimization
• REST APIs, async pipelines, basic system design
• Git, CI/CD, containerization
  
  
  

Production Mindset

• Experience deploying ML/GenAI solutions to production and supporting them post-launch
• Ability to define measurable quality and health criteria for a model before deployment
  
  
  

What we offer:

• Stock options grant (we’re a Silicon Valley Company)
• Competitive salary
• On-site position with 4 days at the office and 1 day WFM
• Medical insurance for you and 75% off for your relatives
• Budget for lunch
• Parking
• Multisport card
• Cheerful team spirit and fun office atmosphere
  
  
  

If this sounds like you, apply and help empower live entertainers and creators to build independent businesses around their live talents.