ML Engineer

Industry: Technology

Remote

Company size: 1-10

Full-time/Part-time

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Job description

A fast-growing company that is developing a centralized platform to help clients discover, assess, and collect key embeddings, is looking for a ML Engineer. The engineer will be in charge of building data architectures and pipelines that follow technical guidelines and organizational objectives, testing them, and keeping them optimized. With the help of the company's cutting-edge technology, businesses may switch from complex, pricey models to simpler, open-source models without sacrificing accuracy. This is an amazing opportunity for engineers who are passionate about proving themselves and working in a challenging environment.

Job Responsibilities:

Address continuous integration, fix systemic issues, keep an eye on the data ecosystem, develop scaling strategies, and support data management and governance
Activate and keep an eye on automated data controls
Ensure that ideas are offered to increase the effectiveness and efficiency of the data ecosystem
Manage cyclical production releases, keep documentation accurate and current for each solution, and alert stakeholders to any data concerns

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
At least 4+ years of relevant experience as a Machine Learning Engineer
3–4+ years in machine learning roles building, testing, and deploying language models over the course
4+ years of experience working with Python, AWS, and Machine Learning technologies
Some familiarity with LLM, Tensorflow, and PyTorch is desirable
Solid understanding of the fundamental technologies used in ML and LLM, including the Python ecosystem, vector databases (Weaviate, Pinecone), Tensorflow/Pytorch, Huggingface, Langchain, and AWS (SageMaker, etc.).
Working knowledge of the ideas of LLM, such as prompt engineering, transformers, reinforcement learning from human feedback (RLHF), model fine-tuning, and embeddings
Some experience with published papers at ML/NLP conferences like ACL, EMNLP, CoNLL, ICML, RecSys, etc. is desirable
Solid experience of working with data processing tools at scale (Python, Spark, Hadoop, etc.) is preferred
In-depth knowledge of working with containerized cloud environments (Docker, Kubernetes, AWS/GCP) is nice to have
Prior experience working as an early employee at a high-growth startup with relevant experience, and the ability to ship quickly
Must be generalists with the ability to quickly assemble components to make things function
Extensive knowledge of search, recommendation, and retrieval methods
Fluent in spoken and written English communication

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Frequently Asked Questions

What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

How many rounds do I need to clear before selection?

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

How is Turing different from other remote based job providers?

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

Do developers need to pay any fees for Turing's services?

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What kind of developers does Turing hire?

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

What level English is necessary to get a job?

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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