Machine Learning Engineer

About Us

Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, trading systems and data science is to enable easy access to financial services that were previously inaccessible or difficult to understand.

Join us on this exciting journey as we expand our operations in United States. We're looking for dynamic individuals who share our vision and want to contribute to the next chapter of Bjak's success.

Job Description:

We are seeking a talented and experienced Lead Machine Learning Engineer to lead our machine learning efforts. As the Lead Machine Learning Engineer, you will play a key role in driving the...

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:

We are looking for a HPC Engineer responsible for developing and scaling our distributed large cluster. The ideal candidate will have experience provisioning large compute clusters for AI workflows and strong experience supporting teams to create best practices for reliability and scalability.

Responsibilities

• Design, develop, deploy, and maintain reliable and scalable infrastructure that enables efficient...

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...

Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future!

If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of...

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...

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 teams to produce and apply new science to more responsibly develop and deploy large language models;

5. In-depth research and exploration of more usage scenarios in future...

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 teams to produce and apply new science to more responsibly develop and deploy large language models;
5. In-depth research and exploration of more usage scenarios in future life.

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,...

• Lead the team to design, build, optimize e-commerce governance algorithm pipeline using NLP/CV/ML to detect and control risks in contents/creators/products/sellers in global markets
• Build, expand and manage the global e-commerce governance algorithm team from scratch
• Collaborate with strategy team, product managers, policy team and ops team to define products and drive initiatives from engineering viewpoints

Requirements

• Bachelor's degree in Computer Science or related technical field
• 7+ working experience in one of the following fields: machine learning , NLP and computer vision
• Experience with software development in one or more programming languages
• Experience in leading an engineering team
• Experience in anti-fraud/anti-spam/platform-integrity or related fields is a big plus
• Strong sense of responsibility and good at communication and teamwork
• Passionate about solving complex and challenging...

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...