4 дня назад
Machine Learning Engineer (AI)
227 000 - 277 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI) (GenAI/agent workflows): Building agent-driven chatbots and AI-powered workflows that improve customers' financial access, with an accent on reliable software engineering, system design, and measurable customer impact. Focus on owning features end to end, evaluating AI systems, and designing new ways for engineers to collaborate with AI development tools.
Location: Mountain View, US; hybrid position requiring in-office work two days a week
Salary: $227,000–$277,000 base salary per year, plus equity and benefits
Company
builds earned wage access and financial wellness products that help people access their pay in real time and manage their money without mandatory fees, interest rates, or credit checks.
What you will do
- Build and ship agent-driven chatbots and GenAI workflows with measurable customer impact.
- Own features end to end, from definition and design through implementation, evaluation, and impact measurement.
- Use modern AI development tools, including Cursor, Codex, and Claude-style assistants.
- Collaborate with product, machine lg, and engineering teams.
- Improve approaches to designing, iterating, and building software with AI.
Requirements
- 3+ years of software engineering experience.
- Bachelor’s degree or equivalent industry experience.
- Strong software engineering fundamentals and thoughtful system design skills.
- Experience writing reliable, durable, and maintainable code.
- Initiative, proactive problem-solving, rapid lg, and a growth mindset.
- Interest in GenAI, AI agents, and AI-assisted software development.
Nice to have
- Hands-on experience with GenAI or AI agents.
- Experience using Copilot, Cursor, LLMs, or similar AI-assisted development tools.
Culture & Benefits
- Equity and employee benefits are provided.
- Ownership-driven, fast-moving engineering culture.
- Work alongside product, machine lg, and engineering teams.
- Inclusive environment focused on building a team that represents the community served.
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