Machine Learning Engineer

Attadale is a Chicago-based consultancy with patents in advanced speech analytics, and we are expanding our ML team, especially within financial services and healthcare. We seek candidates with demonstrated success training and developing LLMs in a production setting – delivering meaningful results leveraging modern capabilities, preferably Microsoft platforms.  You will have demonstrated experience with the following responsibilities

• Analyze and model unstructured data using advanced statistical methods and implement algorithms and software needed to perform analyses
• Demonstrate your mastery of ML and NLP to automate complex decision models and build data pipelines, including leveraging unstructured data and interpreting model results for end users
• Ability to perform the following core domain skills:
• natural language (NLP) models within Generative AI / LLMs
• General ML engineering skills such as texting mining, and...

Job Description

We are seeking a knowledgeable Senior Python/ML Operations Engineer with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swaggerexpertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team. 

Requirements

Prerequisites:

• Advanced Python programming for back-end development for Machine Learning Operations.
• Expertise with OpenAPI specs.
• Conversant with LLMs, specifically Llama 2 or Mistral.
• Required to productionize Large Language Model (LLM) based solutions.
• Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
• Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user...

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries.

At Rokt, we practice transparency in career paths and compensation. 

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Machine Learning Engineer

Compensation: $190,000 - $300,000 salary (including superannuation), employee equity plan grant & world class...

We are Rokt, a hyper-growth ecommerce leader.We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries.

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation....

Location: USA/Washington/Seattle Area,

USA/California/SF Bay Area/San Jose

Requirements

About The Team:

Responsible for the research and application of the company's large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of life and communication in the future world.

The main job directions include:

1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme;

2. Data construction, instruction tuning, preference alignment, and model optimization;

3. Implementation of relevant applications, including content generation, reasoning, code generation, etc.;

4. Collaborating with cross-functional...

Location: Usa/Usa/California/Sf Bay Area, Seattle

Sponsor Visa? Yes

Requirements

1. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;

2. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.

3. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;

4. Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. XXX is committed to creating an inclusive space where employees are valued...

Neural Magic is an early-stage AI software company democratizing high performance for deep learning models. Our goal is to reduce the cost and increase the performance of end-users deploying deep learning applications. Based on decades of research at MIT, Neural Magic has developed a software platform that allows developers to sparsify deep learning models to minimize footprint and run on CPUs at GPU speeds. Please look through our website and GitHub repos to get a feel of what we are about.

Founded by an award-winning team of computer scientists and researchers out of MIT, we are a venture-backed company headquartered in Davis Square, Somerville, MA. Our investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC.

We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. This person will work closely with our technical and research teams to develop training and...

What You'll Do:

- Participate in the development of a large-scale Ads system.

- Responsible for the development of state-of-the-art applied machine learning projects.

- Own key targeting components or strategies in the ads monetization ecosystem.

- Work with product and business teams on product vision.

Requirements

- BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.

- 4+ years of experience in and good theoretical grounding in machine learning concepts and techniques.

- Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.

- Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc

- Ability to think critically and to formulate solutions to problems in a clear and concise way.

- Preferred experience: ads...

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.

About the Role

We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

As an early member of Hugging’s Face Machine Learning Engineering Success team, you will play a critical role in driving successful technical engagements with prospects and customers and be an integral part of our overall enterprise sales process. You ask the right questions to quickly understand the customer's Machine Learning pain points and environment and articulate clearly and concisely the best possible technical solutions. You are curious and an avid learner. Most of all, you care about...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

As an early member of Hugging’s Face’s Success team, you will help leading companies successfully use AI. Companies range from cutting-edge startups to Fortune-500 giants. On a typical day, you might be advising data science teams on best practices for building models, writing a Jupyter notebook to show off a new technique developed by our researchers, researching the best way to adapt models to a niche domain, or working on a technical blog post. Your technical ability and drive to help...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models.

About the Role

Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

About the Role

As an early member of Hugging’s Face’s Success team, your goal will be to grow accounts, focusing on larger companies: reducing the likelihood of churn and more importantly upselling to larger services engagements by making recommendations to the decision makers, typically directors of data science and their internal customers. While MLEs in the success team focus on the delivery of the services working hand in hand with the customer data scientists...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

About the Role

As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll get to foster one...