Attain is building the first generative AI-powered CRM for sales teams and we're seeking a talented Sr Machine Learning Engineer to join our team. We’re a nimble team of six backed by Y-Combinator and Khosla Ventures with advisors and angel investors from leading companies such as HubSpot and Shopify.
We’re looking for a Sr Machine Learning Engineer and the role is fully remote, but we're specifically looking for candidates based in India.
At Attain, our product development process will be a bit non-standard and consist of small autonomous teams working to ship great features and experiences. Here is a good primer. You’ll work closely with your team (product designer, developers) daily, take ownership, make calls, and see things through without a lot of oversight.
As a Sr Machine Learning Engineer, you'll play a crucial role in developing and maintaining various AI models and features in our software products. You'll work closely with product designers, developers, and other cross-functional teams to deliver high-quality AI-powered solutions. You'll report directly to our Lead Machine Learning Engineer.
We're looking for someone who is a specialist in machine learning with a strong foundation in software engineering principles. You should be comfortable working in a remote team environment and have excellent communication skills.
Here are some examples of projects you might work on as a Sr Machine Learning Engineer at our company:
Developing and improving AI-powered CRM features, such as recommendation systems, natural language processing, and predictive analytics.
Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.
Ensuring that our AI solutions are efficient, scalable, and robust.
Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.
Conducting experiments, analyzing results, and iterating on models to optimize performance.
Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.
Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.
We value team players who are passionate about their work and continuously strive for personal and professional growth. If you're excited about the prospect of joining a dynamic team and making a meaningful impact on our products, we encourage you to apply.
To be considered for this position, you should have:
3 years of experience working with NLP/NLU based technologies
Exceptionally strong Python skills - Minimum 5 years of experience
Strong understanding of NLP/NLU fundamentals
Knowledge of CNN, RNN/LSTM/GRU, and Transformer models
Bonus: Expertise in Text Generation and Grammar correction
Rapid prototyping using open-source algorithms and shaping them to meet product needs
Experience deploying ML models in the Cloud
Prior experience with AWS and related services
Experience with databases (Postgres/MySQL)
ML framework: Pytorch / Tensorflow
Experience with experiment tracking systems
Competitive salary and equity
Unlimited paid vacation
Fully-distributed culture that’s async first
This is a fully remote position with Attain, and we welcome candidates from anywhere in India. However, we require that you have an overlap with the rest of the team based in MENA and North America working hours. As a result this role would involve 12pm to 7pm IST working hours.
If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of sales, we encourage you to apply. We look forward to hearing from you!
The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational work
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