Who We Are?
Ground News is a platform that makes it easy to compare news sources, read between the lines of media bias and break free from algorithms.
In a world where political polarization and media distrust are at an all-time high, Ground News offers people a better way to stay informed and open-minded. Our mobile app, web app, and browser extension are home to a community of mindful newsreaders who use our news comparison platform to easily see every side of a story and engage with news beyond their filter bubble.
Unlike most news companies, our audience and our values do not align with any specific political ideology. Unlike most tech platforms, we don’t use manipulative algorithms to keep users on our platform to sell more ads. We are supported by our readers who pay for a subscription to build a more nuanced understanding of the news, the world, and themselves.
#1 on Product Hunt (Oct 19, '20), #2 (Nov 17, '21), #2 (Mar 26, '21) Techstars portfolio company Winner of Digital News Innovation Challenge by Facebook Winner of Mobile Apps Showdown at CES Featured at Mobile World Congress Featured on New York Times, Financial Times, Newsmax, Forbes and more Our site has even been retweeted by the POTUS The Opportunity - Senior Machine Learning Engineer (Canada - Remote)
We're looking for someone who can get excited about building tools to help people navigate and understand the vast news/information ecosystem we live in. As part of the team, you will be at the forefront of pioneering new AI applications, tailored for the news landscape. You will be pushing the limit on what Large Language Models can do, with access to rich data sets consisting of 60,000+ articles ingested per day from over 50,000 news sources.
What you’ll Do:
Design and implement advanced prompt engineering techniques to coax the best outputs from different LLMs. This will involve experimenting with and benchmarking various generative models Design and maintain a scalable infrastructure for new AI-powered features and products while working closely with Full-Stack and DevOps engineers Design and build out a series of internal ML products, including spam detectors, clustering algorithms, and recommendation engines. Apply non-LLM ML frameworks (i.e. vector search, knowledge graphs) to existing products Build data pipelines for a very large news-specific dataset expanding in real time Prepare and use data for various applications including ML, client use and analytics What You’ll Have:
7+ years of proven hands-on experience in developing, deploying, and maintaining ML/NLP models and pipelines including entity analysis, sentiment analysis, similarity and salience Strong understanding of Knowledge Graphs, and libraries (i.e. Neo4j, AWS Kendra, etc.) A minimum of 6 months experience working with the RAG Framework A minimum of 6 months of hands-on experience with Large Language Models (Open AI/Llama2/MistralBERT / GPT), prompt engineering and LLM deployment A minimum of 2 years experience in model finetuning (LoRA, etc.) Hand-on experience on Semantic search pipeline , Information Retrieval concepts and Document Indexing Experience with Elasticsearch, Typescript, NodeJS Must exhibit a deep understanding of modern AWS Data stack and agile delivery models, demonstrated focus on building business data pipelines Warehousing experience preferably with Snowflake and/or Redshift Experience with AWS Glue, AWS Redshift,AWS EC2, Lambda, S3 for ETL and Catalog, Datasync, Parquet files Experience in SQL and Query optimisation Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Pyspark What You Might Have:
A deep curiosity and interest in the political system, and the relationship between tech and media Experience using any of Ground News’ products (app, website, extension, newsletters) Why Work at Ground News?
Co-founded by a former NASA engineer and Bain consultant, a position with Ground News provides an unparalleled learning experience both personally and professionally. At Ground, we prioritize growth: both for our business and team members. You’ll have the freedom to work remotely and play a key role in the development of Ground News products.
This is an opportunity to work with a growing and mighty team that is fighting every day to build a world where cooperative, civil debate is the norm, media is accountable, and critical thought is the baseline of our information consumption. Ground is based in Kitchener, Ontario, Canada, but this role is remote.
Ground news takes pride in being a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation. Our culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact talent@ground.news, and a member of our team will be happy to help.
Apply Now
Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly! #J-18808-Ljbffr

We are building the worlds most capable foundational models, allowing anyone to generate beautiful, cinematic and high-definition video in minutes. Were a small team of young & hungry researchers, and have raised over $30m from world class investors including Khosla Ventures & YCombinator. We released our first model two months ago, quickly becoming the fastest growing AI product on Discord since Midjourney with over 100,000 users in 6 weeks. Were looking for a Senior Machine Learning Engineer and the role is fully remote (preference will be given to India based candidates). Candidates outside these regions may apply but you will be required to relocate (we will offer a relocation package). This role will require the candidate to time shift and work from 12pm to 8pm IST to overlap with our North American team. You will have some flexibility here but in general we aim for 3 - 4 hours of crossover with our North American EST based team. At Moonvalley, 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. Youll work closely with your team (product designer, developers) daily, take ownership, make calls, and see things through without a lot of oversight. What you'll do (responsibilities) Here are some examples of projects you might work on as a Sr Machine Learning Engineer at our company: Work closely with academic advisors to incorporate cutting-edge research into our product. Contribute to R&D projects aimed at developing computer vision models. Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products. Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines. 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. Experiment, validate, and iterate on machine learning models specific to video and image processing. Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance. What we're looking for (qualifications) The ideal candidate for this role should possess: MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision. Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS). Exceptionally strong Python skills - Minimum 5 years of experience. Knowledge of CNN, RNN/LSTM/GRU, and Transformer models. 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. Bonus: Contributions to open-source projects in computer vision. What we offer (compensation & benefits) Competitive salary and equity. Health coverage. Unlimited paid vacation. Fully-distributed culture thats async first. Hardware setup. In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation. If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for. This is a fully remote position with Moonvalley, and we welcome candidates from anywhere. We meet a few times every quarter, usually in a center-point between NA and India (like Dubai). 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 Moonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs. Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and career privacy policy for further information. Compensation Range: $55K - $75K #J-18808-Ljbffr

Remote but MST and PST based talent Responsibilities: LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more. LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning. LLMOps Practices: Implement LLMOps best practices for monitoring model performance, drift detection, prompt management, and feedback loops for continuous improvement. RESTful API Development: Design and develop RESTful APIs to expose LLM capabilities to other applications and services, ensuring scalability, security, and optimal performance. Model Optimization: Apply techniques like quantization, distillation, and pruning to optimize LLM models for efficient inference on AWS infrastructure. Monitoring and Observability: Establish comprehensive monitoring and alerting mechanisms to track LLM performance, latency, resource utilization, and potential biases. Prompt Engineering and Management: Develop strategies for prompt engineering and management to enhance LLM outputs and ensure consistency and safety. Collaboration: Work closely with data scientists, researchers, and software engineers to integrate LLM models into production systems effectively. Cost Optimization: Continuously optimize LLMOps processes and infrastructure for cost-efficiency while maintaining high performance and reliability. Qualifications: Experience: 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs. AWS Expertise: Strong proficiency in AWS services relevant to MLOps and LLMs, including SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and API Gateway. LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies. Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers). Monitoring: Familiarity with monitoring and logging tools for LLMs, such as Prometheus, Grafana, and CloudWatch. Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment. Problem Solving: Excellent problem-solving and troubleshooting skills in the context of LLMs and MLOps. Communication: Strong communication and collaboration skills to effectively work with cross-functional teams. #J-18808-Ljbffr

Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact! What You'll Do:
Design and develop cutting-edge AI models to power the company's FinTech solutions (think fraud detection, financial growth tools, etc.).
Collaborate closely with the data science team (including Staff Data Scientists), product managers, and engineers to bring their models to life.
Stay on top of the latest AI research and integrate those advancements into their work.
Manage projects independently, ensuring timely and successful completion of deliverables.
Communicate complex technical concepts to a diverse team with varying levels of machine learning expertise.
Contribute to the development and growth of the data science function within the company.
Why You'll Love It Here:
Fast-paced, high-growth environment: Make a real impact on a growing startup .
Exceptional learning & development: Work alongside experienced data scientists and hone your skills.
Meaningful work: Apply your expertise to build models that improve people's financial well-being.
State-of-the-art data infrastructure: Leverage clean, well-organized datasets and advanced tooling.
Who You Are:
Master's degree or PhD in Computer Science , Physics , Mathematics , Engineering , or a related field.
5+ years of hands-on experience in data science, deep learning, and neural networks.
Experience in a deep learning framework (PyTorch/TensorFlow)
Extensive experience with at least 1 cloud computing provider (GCP preferred)
Strong analytical and problem-solving skills
Excellent communication and teamwork skills
Passion for AI, finance, and building something that makes a difference
Ready to Make a Difference?
If you're a machine-learning rockstar who thrives in a collaborative environment and wants to use your skills for good, we want to hear from you!
Please note: This is a full-time, in-office position in Seattle, WA, or San Francisco, CA.
#J-18808-Ljbffr

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