Machine Learning Engineer

Knowledge and experience with a wide variety of machine learning and statistical  models, applying these tools to computer vision and tabular problems. Computer vision, in particular, is a foundational activity at Senseye. We are most interested in candidates with a strong computer vision background who will bring new ideas and help us solve some of our hardest challenges. You are comfortable making additions to existing production code based on modeling needs and updates. You understand the unique challenges of modeling compared to software development and have balanced these needs in past projects. You have experience defining modeling problems, preparing data through analysis, wrangling, cleaning, training and testing statistical and machine learning models. You understand the difference between a test score in model building and actual product performance and know how to design processes to quantify this. You are curious, dedicated to learning and improvement, and have no...

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.

What you'll do: • Create innovative monetization products that drive engagement and revenue. • Participate in the development of a large-scale Ads system. • Participate in the development and iteration of Ads algorithms by using Machine Learning •...

As a technology innovation leadership team in the fast-growing OPPO Research Center, We are looking for talented Machine Learning Engineers to join our Research and Development team. In this position, you will be playing a crucial role in refining our recommender system, search algorithms, and ad targeting algorithms. If you thrive on advancing machine learning technology, leveraging algorithms to address significant business challenges, and are eager to work in a fast-paced, innovative environment, this role is great for you.

Requirements

Key Responsibilities:

• Lead initiatives to improve and expand our machine learning algorithms, ensuring they can solve real business problems. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.
• Collaborate closely with a skilled team of business analyst, data scientists, and software engineers to ensure your solutions are...

Stellar Cyber is a fast-growing Cybersecurity company focused on delivering holistic cyberattack protection to organizations while significantly reducing total costs of ownership with its innovative Open XDR (eXtended Detection and Response) platform based on advanced ML and security technologies. Stellar Cyber has been recognized by Gartner as one of the leading XDR players.

To accelerate our growth, we are seeking a talented and highly skilled Machine Learning Engineer / Researcher to join our cybersecurity team. As a Machine Learning Engineer / Researcher, you will be responsible for researching, designing, and developing data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber’s Open XDR platform.

• Work with the data integration team to review and design data schema and normalization for integration of third-party security data.
• Work with the security team to transform detection...

Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe.

We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits.

This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable...

The Staff Machine Learning Engineer is a seasoned professional with at least 10 years of experience in a variety of machine learning techniques, especially in the predictive AI realm to identify malicious behavior patterns. Specialized in finance or crypto within the technology industry, this individual excels in leading problem-solving, driving coding excellence, ensuring comprehensive testing, and adopting scalable and secure software implementations for solutions in areas like trading, swapping, regulatory compliance, fraud detection, automation, and more.

Who we are

Paxful is a people-powered marketplace for moving money from anywhere, to anyone. With over 12 million users across 170+ countries, Paxful offers access to crypto and local currencies using more than 450 payment methods.

Requirements

• Past experience within the fintech sector, or understanding of financial regulations, compliance, and security...

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...

Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world’s largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers.

Job Duties and Responsibilities 

A talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that...

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 15000 companies, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly, and NASA, are using HF technology in production.

About the Role

With the rise of LLMs, we’re seeing a massive surge in Audio LMs and the community is using the Hugging Face ecosystem to train, evaluate, and share such models, datasets, and demos. In this internship, you’ll enable the development of the next generation of these Audio LMs by making open source tools more accessible to the community. This could include integrations with audio data providers (like Common Voice and GigaSpeech) and improved support for audio...

Company Overview:

Skild AI is a startup focused on creating large-scale foundation models for robotics with the goal of developing general-purpose robotic intelligence. We view data-driven machine learning methods as the key to unlocking general-purpose capabilities for the widespread deployment of robots to perform economically useful tasks within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Both generalists and specialists within specific sub-fields of robotics (planning, SLAM, manipulation, computer vision, etc.) are encouraged to apply.

Position Overview:

We are looking for a Machine Learning Engineer to...

About The Role

We're looking for a passionate and skilled Principal ML Engineer who wants to swing for the fences to accomplish our mission, is excited by a startup environment where the hardest problems are yet to be solved, and is eager to learn and collaborate together. This is our first fully dedicated ML Engineer with a massive runway to make an impact.

Requirements

What You'll Do

1. Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems in automation and Chrome development, such as natural language processing, computer vision, recommendation systems, or predictive analytics.
2. Data Preparation: Collect, preprocess, and analyze data from various sources to create clean and relevant datasets for model training and evaluation.
3. Model Training and Evaluation: Train, fine-tune, and optimize machine learning...

AI Company Job Description: Lead Machine Learning Engineer

About the Company: We are a trailblazing AI company, known for pushing the boundaries of technology and creativity. Our mission is to revolutionize industries through artificial intelligence, developing solutions that drive innovation and change the world. Our environment is fast-paced, dynamic, and exciting, where cutting-edge research meets practical application in a variety of fields, from entertainment to healthcare. Join us to be at the forefront of AI innovation, where your work not only shapes the future of technology but also has a meaningful impact on society.

Responsibilities:

• Lead the development and integration of advanced machine learning models to solve complex problems across different sectors, from healthcare to entertainment.
• Spearhead the design and execution of the machine learning lifecycle, including problem definition, data...

Compensation: Up to $250,000 annually with a competitive founding equity package and comprehensive benefits

About Us: Join us as a pivotal Lead Machine Learning Engineer and become a cornerstone of our innovative team. In this foundational role, you will be instrumental in sculpting our product's future and steering the company's strategic direction. This is a unique opportunity to imprint your mark on our technological journey and grow with us.

Your Role:

• Architect and refine our machine learning systems, taking responsibility from conceptualization to deployment, ensuring seamless integration and optimal functioning within our product environment.
• Partner with cross-functional teams to develop and refine algorithms that elevate code generation and comprehension, enhancing the developer experience.
• Champion the design, testing, and deployment of new product functionalities and...

About The Role

We're looking for a passionate and skilled Principal ML Engineer who wants to swing for the fences to accomplish our mission, is excited by a startup environment where the hardest problems are yet to be solved, and is eager to learn and collaborate together. This is our first fully dedicated ML Engineer with a massive runway to make an impact.

Requirements

What You'll Do

1. Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems in automation and Chrome development, such as natural language processing, computer vision, recommendation systems, or predictive analytics.
2. Data Preparation: Collect, preprocess, and analyze data from various sources to create clean and relevant datasets for model training and evaluation.
3. Model Training and Evaluation: Train, fine-tune, and optimize machine learning...

Company Overview: Welcome to the forefront of machine learning infrastructure! At our company, we're passionate about pushing the boundaries of artificial intelligence and machine learning. Our mission is to develop robust and scalable infrastructure solutions that empower data scientists and machine learning engineers to build, deploy, and manage cutting-edge machine learning models. Join us and be part of a dynamic team committed to shaping the future of machine learning infrastructure.

Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization. Working closely with cross-functional teams of data scientists, software engineers, and DevOps specialists, you'll ensure the reliability, scalability, and efficiency of our machine learning systems. If you're passionate about machine learning...

Overview

Join our dynamic team as a Machine Learning Engineer to pioneer solutions that transform industries. Your role involves developing sophisticated machine learning models and deploying scalable AI systems. You'll be at the forefront of innovation, turning visionary ideas into reality.

Responsibilities

- Design, develop, and deploy advanced machine learning models to address key business challenges.
- Collaborate with data scientists and engineers to integrate AI solutions into our products and services.
- Optimize AI systems for performance and scalability.
- Evaluate and incorporate new machine learning algorithms and frameworks to enhance our solutions.
- Conduct ongoing testing and maintenance to ensure the robustness of AI applications.

Requirements

Qualifications

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
- Experience in machine learning,...

Company Overview: Welcome to the forefront of AI-driven innovation! Our company is a trailblazer in leveraging machine learning to revolutionize industries. We're committed to building robust infrastructure that powers our machine learning models at scale. Join us and lead our efforts in shaping the future of AI infrastructure engineering.

Position Overview: As the Lead Machine Learning Infrastructure Engineer, you'll play a pivotal role in leading our machine learning infrastructure initiatives and driving the design, development, and optimization of our infrastructure solutions. You'll lead a team of skilled engineers, collaborating closely with cross-functional teams to deliver high-quality, scalable, and reliable infrastructure that supports our machine learning workflows. If you're a seasoned engineer with expertise in machine learning infrastructure technologies and a proven track record of leadership in delivering successful...

About the Company: Our company is at the forefront of space exploration and technology, dedicated to unlocking the mysteries of the universe and making space more accessible. We are pioneering new technologies in spacecraft design, propulsion, and remote sensing, with a focus on sustainable exploration and the utilization of space resources. Join us to be part of a visionary team of space enthusiasts and technologists who are shaping the future of interplanetary travel and exploration, where your work contributes to groundbreaking missions and the expansion of human presence in space.

Responsibilities:

• Lead the development of machine learning models to analyze and interpret vast amounts of data from space missions, enhancing our understanding of the cosmos and improving mission efficiency.
• Design and implement AI-driven systems for autonomous spacecraft navigation, anomaly detection, and real-time decision-making in...

Company Overview: Welcome to the forefront of machine learning innovation! At our company, we're dedicated to harnessing the power of artificial intelligence to drive real-world impact. Our mission is to develop cutting-edge machine learning solutions that empower businesses and revolutionize industries. Join us and be part of a dynamic team committed to pushing the boundaries of what's possible in AI.

Position Overview: As a Machine Learning Engineer, you'll play a pivotal role in developing and deploying state-of-the-art machine learning models and systems. Working closely with data scientists, software engineers, and domain experts, you'll tackle complex challenges and deliver scalable, robust solutions. If you're passionate about leveraging data to drive innovation and eager to make a meaningful impact, we want you on our team.

Requirements

Key Responsibilities:

1. Model...

Company Overview: Welcome to the cutting-edge of AI-driven innovation! At our company, we're pioneers in leveraging machine learning to revolutionize industries. We're committed to building robust infrastructure that powers our machine learning models at scale. Join us and be part of a dynamic team shaping the future of AI infrastructure engineering.

Position Overview: As a Senior Machine Learning Infrastructure Engineer, you'll lead the design, development, and optimization of our machine learning infrastructure. You'll work on challenging projects, from building scalable data pipelines to deploying and managing machine learning models in production environments. If you're a seasoned engineer with expertise in machine learning infrastructure technologies and a passion for building scalable, reliable, and efficient systems, we want you on our team.

Requirements

Key Responsibilities:

...