Staff AI Engineer, Workato
$215-285k
2-3 days a week in office (Palo Alto, CA)
Integration & workflow automation platform
Be an early applicant
Integration & workflow automation platform
1001+ employees
Be an early applicant
$215-285k
2-3 days a week in office (Palo Alto, CA)
1001+ employees
Company mission
To help businesses streamline their operations by providing a platform to automate their work and integrate their stacks, all in one place.
Role
Who you are
- The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale
- Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field
- 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
- Strong proficiency in Python
- Hands-on experience with search engines (Opensearch or Elasticsearch)
- Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
- Experience with text processing, NLP, and relevance tuning
- Experience with relevance evaluation metrics (NDCG, MRR, MAP)
- Experience with large-scale distributed systems
- Proficiency in Knowledge Graph construction and optimization is a plus
- Strong analytical and problem-solving skills
- Strong communication abilities to explain technical concepts
- Collaborative mindset for cross-functional team work
- Detail-oriented with strong focus on quality
- Self-motivated and able to work independently
- Passion for solving complex search problems
What the job involves
- As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team
- In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core
- You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition
- Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent
- Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback
- Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval
- Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing
- Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data
- Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods
- Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning
- Collaborate with product and applied research teams to translate user needs into data-informed search innovations
- Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack
Our take
Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.
Workato has built a single platform that integrates apps, processes, data, and user experiences to improve efficiency, communication, and business flexibility. There are many integration platforms available, such as SnapLogic and Mulesoft Anypoint Platform, however, Workato has aimed its platform at users who have minimal technical experience, rather than the IT team.
Workato has continued to expand its partnerships and workforce, and is well set to see further growth as it innovates its product offerings and capabilities. The company was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Integration Platform as a Service, making five years it has participated and five years it has been recognized.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$200m
SERIES E
Sep 2021
$110m
SERIES D
Total funding: $415m
Company benefits
- Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
- Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
- Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
- Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.
- Recreation Time: From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.
Company HQ
Palo Alto, CA
Leadership
Vijay Tella
(Co-Founder & CEO)Spent 15 years as an Engineer at Teknekron and TIBCO, before joining Oracle as CSO. They also served as CEO at Qik, and VP at Skype.
Harish Shetty
(Co-Founder & Strategic Advisor)Previously held leadership roles in engineering at TIBCO, Blink, and iProfile.
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