AI/ML Engineer (US)

San Jose, California, United States | Engineering | Full-time

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Who are we?

Whatfix is a leading global B2B SaaS organization and the largest pure-play enterprise digital adoption platform solution provider.Utilizing GenAI technology, Whatfix enhances all stages of software deployment with application simulation, product analytics, and digital adoption, driving business outcomes such as increased revenue win rates, cost reduction, risk compliance, enhanced productivity, and improved user experience.We have seven offices in the US, India, UK, Germany, Singapore, and Australia, supporting 700+ global customers, including 80+ Fortune 500 companies. Whatfix has raised $140 million to date and is backed by marquee investors, including Softbank, PeakXV, Dragoneer, and Cisco Investments.

  • With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards.
  • Recognized as a “Leader” in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.
  • The sole vendor named as Customers’ Choice: 2024 Gartner® Voice of the Customer for Digital Adoption Platform Report.  We also boast a star rating of 4.6 on G2 Crowd 4.5 on Gartner Peer Insights and a high CSAT of 99.8%
  • Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Third Consecutive Year
  • Won the Silver for Stevie's Employer of the Year 2023
  • Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal

About the Role:

Whatfix is working on building bots/assistant that can take instructions by users in Natural language (e.g. "Apply for Casual leave from 20th Aug to 25th Aug 2023”) and the bot will control the browser and execute the task on any application on the web. We are looking for rockstar AI/ML Engineers who have worked on UIs and AI/ML.

Key Responsibilities:  

  • Develop advanced computer vision and state-of-the-art deep learning models for building an understanding of software applications and using the understanding to act as an agent
  • Research & Implement ML and Deep learning algorithms for production
  • Build infrastructure needed for AI/ML systems, such as model inference, automated (re-)training, monitoring, explainability, etc.
  • Participate in Code Review and process improvement
  • Stay abreast of new AI research from leading labs by reading papers and experimenting with code
  • Help AI product managers and business stakeholders understand the potential and limitations of AI for your Products
  • Run necessary ML tests and benchmarks for model validation
  • Fine-tune, retrain, and scale existing model deployments
  • Articulate complex problems by communicating viable architecture and design approaches in a clear and concise manner
  • Implement computationally complex model training and software applications understanding Neural networks and integrate them into the Whatfix SaaS platform
  • Design and develop highly scalable, reliable, and fault-tolerant systems for one of the world’s fastest-growing startups
  • Envision project goals, and product architectural solutions with a high focus on detail to ensure successful implementation
  • Occasionally participate in customer demos & provide inputs wherever required
  • Conduct research to provide technical solutions at scale for real-world challenges in various scenarios

Our ideal AI/ML Engineer:

  • Experience and a strong analytical background, with a degree in computer science, engineering, machine learning, artificial intelligence, deep learning, algorithms, statistics, or a similar field desirable
  • Direct work experience and proficiency in a few of the below technologies and frameworks:
  • Solid experience in building systems with vision processing, deep neural networks, and reinforcement learning
  • Solid understanding of working with Knowledge graphs for AI projects
  • Strong understanding of concepts related to Machine Learning and Statistics
  • Deep understanding of the family of CNN algorithms such as R-CNN, Fast R-CNN, Faster R-CNN, YOLO, etc.
  • Hands-on programming skills in Python
  • Solid hands-on knowledge of using Deep learning libraries such as PyTorch, Fastai, TensorFlow, OpenCV, etc.
  • Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing. A solid foundation in the principles of computer science is desired.
  • Working knowledge of finding ways to quickly experiment and deploy at least 2 DL-based solutions to production
  • Excellent communication and technical skills
  • A can-do attitude and entrepreneurial spirit to conceive ideas, turn challenges into opportunities, and build products
  • Ability to collaborate effectively with highly technical resources in a fast-paced environment
  • Ability to solve complex challenges/problems and rapidly deliver innovative solutions
  • Bachelor’s or Master’s Degree in Computer Science 

Nice-to-haves:

  • Hands-on experience with Front end technologies like - HTML, CSS, and JavaScript
  • Publication of DL-based research work in top-tier conferences
  • Previous experience with transformer/vision transformer-based models
  • Understanding distributed computing using Spark 

Perks / Benefits

  • Equity plan
  • Mac shop, work with the newest technologies
  • Unlimited PTO policy
  • Paid maternity/paternity leave
  • Monthly cell phone stipend
  • Paid UberEats lunches daily
  • Medical, Dental, and Vision coverage (Whatfix pays 80% of the premium for individuals and their families; for the HSA, Whatfix contributes $1,000 for individuals and $2,000 for a family) 
  • Team and company outings
  • Learning and Development benefits

At Whatfix, we thrive on the power of collaboration, innovation, and human connection. We strongly believe that working together in our office (five days a week)  fosters open communication, builds a sense of community, and fuels innovation. This ensures open communication, strengthens our sense of community, and enables us to achieve our collective goals effectively.

To facilitate global collaboration, our US teams start and end early, while our India teams start and end late. US teams do not have any evening meetings. Relocation and Sponsorship offered.

We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust is the foundation; and Do it as you own it.

We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status.

The salary range for this position is 150K-280K. Compensation offered will be determined by factors such as level, job-related knowledge, skills, and experience.

Due to the global nature of our company and our hiring committee spanning different time zones, the interviews for this role will be recorded for those not in attendance to review.