About Us
Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.
Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.
The Opportunity
If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms;
You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.
If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!
What you’ll do day to day as a Lead ML Engineer
- If you are a talented and driven person who wants to join a high-impact team at the core of Observe.AI's mission, then this role is for you. This is a highly challenging role that will require the implementation of state-of-the-art Machine learning (ML) and Deep learning algorithms.
- You will build a never-before-seen machine intelligence product and ML pipelines from scratch, architecting and implementing low latency systems at scale.
- You will work on architecting the ML pipelines and deploy them at scale
- You will optimize ML solutions for performance, scale and reliability
- You will work with large data sets and build an ML pipeline to process and train the data
- You will run ML experiments scientifically and analyzes the results
- You will work with the team in building exciting stuff and guide juniors in the process
- You will deploy solutions into production and maintain several models for fast experiments
- You will simply, own a module end-to-end and show us your data skills
- you will keep up-to-date with latest ML and deep learning literature to implement latest techniques into Observe.AI Voice & Speech platform.
- If you are excited about; owning & building a next-generation ML architecture and working on core algorithms, right from training to production, you’ll love the job!
What you’ll bring to the role
- Graduate/Post Graduate degree in Computer Science/Electrical Engineering from leading research institutes.
- Strong working experience in building Speech technologies like ASR, TTS, Diarization, and Speech signals
- Hands-on experience in building end-to-end models using the latest architectures.
- 6+ years of commercial experience in ML solutions and pipelines
- 6+ years of programming experience in Python, Shell scripting, and C/Java
- Hands-on experience in speech processing frameworks such as Kaldi, Espnet, Speech brain, etc.
- Experience with Machine learning and Deep learning libraries such as Scikit Learn, TensorFlow, or PyTorch
Some of the other coolest things you deliver
- A world-class Speech technology that has an impact on Customers and the research community
- Publish papers in International Speech and NLP conferences like Interspeech / Icassp / NIPS/ ASRU etc.
- Inter team coordination for research initiatives.
About the ML Team
We are a strong 25-member Machine Learning team with a focus on Speech, NLP, and Data platforms. Our main research focus is to drive the contact centers using AI which leads to improving operational efficiency, customer experience, and compliance. Our Machine Learning team pushes the boundaries in understanding the nuances in the conversation AI by processing millions of calls per day and empowering the call centers to improve efficiency.
The Speech team focuses on Speech Recognition, Speaker Diarization, and Speech Signals to understand the nuances in the behavior of the agents. The ML team is at the forefront of publishing our research in international conferences such as Interspeech, Icassp, ICML, and EMNLP AACL, and we encourage our research in the same.
Apart from work, the team loves to collaborate on research initiatives, present the initiatives/findings in internal/external tech conferences, participate in hackathons, and have formal/informal gatherings.
Compensation, Benefits and Perks
Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)
Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.
Subodh Popalwar
Software Engineer, Memorres
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Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.
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Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
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Notice Period:Immediate Joiners.
Constraints - Rotational shifts, males are preferred
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Good communication skills in verbal and written English.
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Follow CutshortSubodh Popalwar
Software Engineer, Memorres