Full-Time

Software Engineer 1/2

Giga AI

Giga AI

51-200 employees

Dataset management and GPT-4 model fine-tuning

Compensation Overview

$160k - $250k/yr

+ Bonus + Equity

New York, NY, USA

In Person

Category
Software Engineering

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Requirements
  • Have 1-3 years of professional software engineering experience
Responsibilities
  • Build features across Atlas, Activity Stream, Dynamic knowledge, and Agent memory as part of the AI agents platform, including charts and alerts in Slack, natural language queries, and expansion of Atlas to manage platform resources; Implement log visualization with filters, timestamps, and frequency charts to monitor agent behavior; Implement time-based knowledge updates from sources like status pages; Implement memory features for conversation awareness and recent interaction lookups to maintain context across sessions.
  • Pair with senior engineers on larger initiatives while owning smaller projects end-to-end as you ramp up.
Desired Qualifications
  • Have 1-3 years of professional software engineering experience (if treated as desirable, but already in requirements)
  • Curious and asks good questions to understand why things work.
  • Able to take feedback and iterate quickly.
  • Prefers shipping over perfection but still cares about quality.
  • Wants to grow at a startup where you will have real responsibility early.

GigaML helps developers, data scientists, and businesses manage and improve AI models, especially those based on OpenAI’s GPT-4. Its platform lets users create and organize datasets from logs, manage these datasets, and apply various fine-tuning methods to tailor models to specific tasks or industries. The product works by providing an API-backed workflow: sign up, generate an API key, and integrate GigaML’s library into Python or NodeJS projects to upload data, select tags or models, and run fine-tuning operations that adjust a model’s behavior. GigaML differentiates itself through structured dataset management, flexible fine-tuning options, and a usage-based pricing model that scales from startups to large enterprises, enabling clients to pay for data processed and tuning effort. The company aims to help organizations leverage advanced AI more effectively by making it easier to manage data, fine-tune models, and deploy capable AI solutions at scale.

Company Size

51-200

Company Stage

Series A

Total Funding

$64.7M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Giga raised $61M Series A led by Redpoint Ventures with Y Combinator and Nexus participation for growth.
  • Giga serves DoorDash, validating production-ready agents handling millions of daily support tickets with over 90% resolution accuracy.
  • Giga targets regulated sectors like healthcare and banking, leveraging secure orchestration and brand-aligned, emotionally aware interactions.

What critics are saying

  • Zendesk's $1.50–$2 per resolution model and expanding ecosystem will undercut Giga's pricing with mid-market clients within 6–12 months.
  • A former employee's $3M lawsuit alleging revenue misdisclosure could trigger Redpoint or Y Combinator investor withdrawal within 3–6 months.
  • Full Truck Alliance's majority stake in Giga.AI Technology Limited creates U.S. compliance risks under AI export controls within 12–18 months.

What makes Giga AI unique

  • Giga builds voice-based AI agents for enterprise support, unlike text-only incumbents like Zendesk and Salesforce.
  • Giga agents deliver sub-second responses with contextual reasoning and emotionally intelligent, human-quality conversations at scale.
  • Giga deploys enterprise-scale AI support in under two weeks, enabling rapid integration and real-time action execution.

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Benefits

Catered lunch daily

Dinner stipend

$150/month wellness benefit (gym, fitness classes, mental health)

401(k) plan

Paid parental leave (12 weeks maternal, 6 weeks paternal)

Commuter benefits

Medical, dental, and vision coverage

Growth & Insights and Company News

Headcount

6 month growth

9%

1 year growth

7%

2 year growth

-24%
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