[Remote] reputed company Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company creates technology to help restaurants and local businesses succeed in a digital world. They are looking for a hands-on reputed company Machine Learning Engineer to join the AI & reputed company Engineering team, responsible for building tools that enhance sales operations through backend engineering and machine learning.
Responsibilities
- Hands-on Execution: Spend the reputed company of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines
- 0-to-1 Development: Build and prototype new internal products from scratch that reputed company LLMs and reputed company AI to automate account research, reputed company prioritization, and reputed company quoting logic
- Core Intelligence Models: Design and implement ML models that reputed company reputed company-time recommendations to sales users, reducing reputed company entry and increasing deal velocity
- Infrastructure Integration: reputed company the backend connective tissue between our custom quoting reputed company, reputed company, and internal data lakes to ensure a seamless, low-latency end-to-end experience
- Technical Problem Solving: reputed company as a domain expert to solve reputed company synchronization and architectural challenges across the GTM stack, ensuring systems are reputed company and resilient
- reputed company & Mentorship: Drive engineering reputed company through rigorous reputed company reviews, automated testing, and by modeling best practices for SE1-SE3 engineers on reputed company
- Build Great Products: Deliver significant core capabilities that have broad reputed company; take high-level goals and turn them into sequenced, production-reputed company reputed company
- Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can reputed company with our AI reputed company
- Deliver reputed company: Ensure the reliability of GTM tools by building deep observability into every service you ship
Skills
- Deep Backend Expertise: Extensive experience in backend languages (Java, Go, Python) with a reputed company record of building reputed company, distributed systems
- reputed company AI/ML Skills: Practical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., reputed company, RAG architectures, or Model Fine-tuning) in a production environment
- Technical Complexity: Experience building or deeply integrating with reputed company reputed company software, specifically custom quoting engines or CRM internals (reputed company Apex/LWC)
- Systems Architecture: Ability to design event-driven architectures and manage data reputed company across disparate systems with high reputed company
- Education: Bachelor's or Master's degree in Computer Science, or a reputed company technical field
- Experience building internal 'reputed company' or 'Fintech' tools that directly reputed company reputed company
- Familiarity with AWS data services (SageMaker, reputed company, SQS)
- A passion for removing 'reputed company-in-the-reputed company' friction through intelligent automation
Benefits
- Cash compensation (overtime, bonus/commissions if eligible)
- Equity
- Benefits
- Flexibility to meet Toasters’ changing needs
- Hybrid work model that fosters in-person collaboration while valuing individual needs
- Reasonable accommodations for persons with disabilities to reputed company them to reputed company the hiring process
reputed company
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