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Senior Software Engineer (Platform Team and Customer Facing)

💰 $100,000 - $150,000 📅 01/24/2024

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Senior/Lead Data Scientist/ GenAI Scientist

💰 $200 - $2 📅 07/12/2024

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Senior Software Engineer: Enterprise Outcome Team

💰 $120,000 - $160 🌍 New York City, Seattle, San Francisco, San Jose, San Francisco Bay Area 📅 08/02/2024

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Job Description

**Responsibilities:**

* Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors. Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow.
* Write maintainable, scalable performant code working with large scale data pipelines, Optimising databases and queries, Building gRPC and rest API servers.
* Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. You will have to code customer environment, understand their requirements, and implement yourself in TrueFoundry product. Work cross-functionally with Customer Development and Engineering while independently driving key initiatives for TrueFoundry customers.

**Requirements:**

Python, Typescript, Node, Go are preferred but not mandatory
REST APIs, docker, CI/CD is a must-have
Some prior knowledge with NLP, basic ML, transformer based models would be
important but not mandatory
Experience with Langchain, RAG systems, fine tuning is a huge plus.
Some experience with AWS; K8s is nice-to-have.

**Benefits at TrueFoundry:**

* Work with top engineers who led the Facebook Videos and Infrastructure team
* Weekly Games and learning sessions with teammates
* Flexible working hours and work directly with the Co-founders
* Client facing role work directly with fortune 500 companies.
* Team discussions on product and business growth strategies.
* Insights for those who want to build a startup in the future
* Other benefits like learning credits

**About US:**
TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on
Kubernetes. TrueFoundry is a powerful LLMOps and MLOps platform that enables
Machine learning teams to train and Deploy models at the speed of Big Tech
with 100% reliability and scalability - allowing them to save cost and train
models at lightning speed with scalability.

TrueFoundry also facilitates faster experimentation with Open Source LLMs on
your cloud infrastructure while simultaneously reducing operational expenses.
TrueFoundry has built a fearlessly experimental, customer-obsessed team who
are making discoveries to fundamentally change how people build and consume
business applications. Today, we're partnering with the world's leading
companies to transform how they use data and technology.

In this role, you will work closely with the founders including Abhishek
(<https://www.linkedin.com/in/abhishekch123/>) and Nikunj
(<https://www.linkedin.com/in/nikunj-bajaj-10476824/>), also with internal and
external stakeholders to develop best practices and solutions in the most
optimized, scalable and reliable standards possible.

Our mission is to deliver positive value from Machine Learning by making it
fast and scalable!
ML Developers (Data Scientists and ML Engineers ) should be enabled to build
great ML products to deliver ROI from ML Investments and make everyone's lives
better

**Team:**

* Founded by alumni from IIT Kharagpur, UC Berkeley, and ex-FaceBook Engineers, we have had folks from IITs, ISB, Facebook, Amazon, , GoJek, etc. Funded by top global Investors (Sequoia Capital, ENIAC) and angels (Naval Ravikant, Anthony Goldbloom).
* 2nd-time founders - their previos Postmanus startup (EntHire.co) was acquired by InfoEdge + was selected to be a part of Y Combinator.

**How to Apply?**

Please apply directly from here AND brownie points if you can email
[[email protected]](mailto:[email protected]) with the following:

1) Resume/Link to LinkedIn profile
2) Why do you think you will be a fit for this role? {this often helps
applications stand out)
3) If you have done a similar thing in the past - please highlight it.