Upscale your Career

Job Description

We are seeking a highly skilled Machine Learning Engineer with extensive experience in TensorFlow, PyTorch, Google Colab, reinforcement learning, generative AI, and image and video processing to join our dynamic team. The ideal candidate will have a strong background in machine learning and deep learning, with a passion for developing and deploying state-of-the-art models. You will be working on a greenfield project leveraging cutting-edge Generative AI for streaming video advertising.

Key Responsibilities

• Design, develop, and implement machine learning models using TensorFlow and PyTorch.
• Conduct research and experiments to advance the state-of-the-art in reinforcement learning and generative AI.
• Develop and optimize algorithms for image and video processing tasks.
• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
• Utilize Google Colab for prototyping and rapid development.
• Perform data preprocessing, augmentation, and analysis to improve model performance.
• Stay current with the latest research and advancements in machine learning and AI.
• Write clean, maintainable, and efficient code.
• Participate in code reviews and knowledge sharing with the team.
• Document methodologies, experiments, and results.

Qualifications

• Proven experience as a Machine Learning Engineer or similar role.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
• Experience with reinforcement learning and generative AI techniques.
• Expertise in image and video processing algorithms and techniques.
• Proficiency in using Google Colab for developing and testing models.
• Familiarity with Google Cloud Platforms for deploying machine learning models.
• Strong understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork skills.
• Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with other machine learning frameworks and libraries (e.g., Keras, Scikit-learn).
• Knowledge of advanced statistical methods and data visualization tools.
• Experience with natural language processing (NLP).
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience in deploying machine learning models in production environments.
• Experience with video, streaming, advertising, demand side platforms, and real-time advertising exchanges

What We Offer

• Competitive salary and benefits package.
• Flexible work hours and remote work options (2 days per week in office).
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on an exciting and innovative startup.
• Work with a very seasoned team of experienced, serial entrepreneurs.

How to Apply

If you are passionate about machine learning and want to be part of a dynamic team, we would love to hear from you. Please send your resume and a cover letter detailing your experience and why you are a good fit for this role to hiring@tvads.ai.

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Job Description

We are looking for a highly skilled Data Scientist with a strong background in machine learning algorithms and a passion for real-time bidding optimization. The ideal candidate will have expertise in reinforcement learning, multi-armed bandits, and bid optimization algorithms. You will be instrumental in designing and developing algorithms that drive effective and efficient real-time bidding strategies. This is a greenfields opportunity to make your mark.

Key Responsibilities

• Design, develop, and implement machine learning models for real-time bidding optimization.
• Apply reinforcement learning techniques to enhance bidding strategies and decision-making processes.
• Utilize multi-armed bandits algorithms to optimize bid allocation and maximize campaign performance.
• Develop and fine-tune bid optimization algorithms to improve ROI and ad placement efficiency.
• Collaborate with cross-functional teams to integrate machine learning solutions into our bidding platform.
• Analyze large datasets to extract actionable insights and inform algorithmic improvements.
• Stay updated with the latest research and advancements in machine learning and ad tech.
• Write clean, maintainable, and efficient code for model development and deployment.
• Document methodologies, experiments, and results, and share knowledge with the team. #### Qualifications
• Proven experience as a Data Scientist or similar role with a focus on machine learning algorithms.
• Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive experience with reinforcement learning, multi-armed bandits, and bid optimization techniques.
• Expertise in handling large-scale datasets and developing scalable algorithms.
• Familiarity with real-time bidding systems and digital advertising metrics.
• Strong analytical skills with a deep understanding of data structures and algorithms.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and collaboration skills.
• Ph.D. in relevant field (statistics, mathematics, artificial intelligence, etc)
• Preferred Qualifications
• Experience with other machine learning frameworks and libraries (e.g., Keras, Scikit-learn).
• Knowledge of advanced statistical methods and data visualization tools.
• Experience with cloud platforms for model deployment (e.g., AWS, Google Cloud).
• Familiarity with containerization tools like Docker.
• Background in ad tech or experience with real-time bidding systems and demand side platforms. #### What We Offer
• Competitive salary and comprehensive benefits package.
• Flexible work hours and remote work options (2 days per week in office).
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on cutting-edge technology in a pioneering startup.
• Engage with a team of seasoned professionals passionate about innovation and excellence. #### How to Apply If you are excited about leveraging machine learning to optimize real-time bidding strategies and want to be part of a forward-thinking team, we’d love to hear from you. Please send your resume and a cover letter detailing your experience and why you are a great fit for this role to hiring@tvads.ai. TVAds.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description

We are looking for a highly skilled Senior Backend Engineer with extensive experience in Python and Go programming languages, and a strong background with AI/ML systems, data pipelines, integrations, and low-latency programming. The ideal candidate will be passionate about building high-performance, data-rich backend systems leveraging AI/ML and eager to tackle complex technical challenges.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services using Python and Go.
• Build and optimize data pipelines to handle large volumes of data efficiently.
• Develop and integrate web APIs to facilitate seamless communication between services and applications.
• Implement low-latency programming techniques to ensure high performance and responsiveness of backend systems.
• Collaborate with cross-functional teams to understand requirements and deliver robust technical solutions.
• Write Terraform modules to provision required infrastructure and setup monitoring to meet SLA’s
• Troubleshoot and resolve backend issues to ensure system reliability and performance.
• Optimize and refactor existing code to improve efficiency and maintainability.
• Stay current with the latest industry trends and advancements in backend development technologies.
• Write clean, well-documented, and maintainable code.
• Participate in code reviews and mentor junior engineers.

Qualifications

• Proven experience as a Backend Engineer or similar role with a focus on Python and Go programming languages.
• Strong proficiency in designing and managing data pipelines and integrations.
• Expertise in developing and optimizing web APIs for high performance and scalability.
• Experience with low-latency programming techniques and performance tuning.
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with machine learning frameworks and libraries (e.g., Keras, Scikit-learn).
• Experience with additional programming languages and frameworks (e.g., Scala, Node.js).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with data processing systems including (Py)Spark, Airflow, etc.
• Experience with database systems (e.g., SQL, NoSQL) and distributed systems.
• Background in developing systems for high-traffic applications and services.

What We Offer

• Competitive salary and benefits package.
• Flexible work hours and remote work options (2-3 days per week in office).
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on an exciting and innovative startup.
• Work with a seasoned team of serial entrepreneurs.

Job Description

We are seeking an experienced Account Executive, New Businsee to engagne and and sign new DTC brands and ensure that they achieve their advertising goals and maximize the potential of their creatives and budget. As a key liaison between TVADS.ai and our customers, you’ll be responsible for signing new brands, providing strategic guidance internally, assisting with onboarding the customer, and being proactive in working with Account Success to ensure customers meet their goals.

Key Responsibilities

• New Business Sales: Serve as the first point of contact for customers, introducing them to our platform and product and selling them on our solution. Understanding their business objectives, and ensuring their campaigns align with these goals. Sign an intial Insertion Order and assist the brands in setting up their brand on the paltform and ensure we have the assets to to develop intial set of creatives. Maintain an active book of business of 100+ ideal customers. Own your pipeline of outbound, followups, demo calls, pitch calls and proposals for your brands.
• Collaboration: Actively monitor accounts with your account success manager to identify and address issues in order to maintain and retain customers. Work closely with Sales Leadership on improvements to the sales process to increase our ability to scale. Provide direct customer feedback to Product and Eng Leadership to ensure success of the platfrom.
• Relationship Building & Retention: Build and maintain strong relationships with customers, promoting trust and collaboration to ensure long-term satisfaction and retention. Collaborate on regular check-ins and quarterly reviews, presenting insights, achievements, and strategic recommendations for future campaigns. Gather and report customer feedback to internal teams, advocating for features and solutions that meet evolving client needs.
• Product & Industry Expertise: Stay informed on industry trends, platform updates, and new features to provide customers with the latest information and ensure their campaigns remain competitive. Act as a subject matter expert on the TVADS.ai platform, guiding clients in making the most of our technology.

Preferred Qualifications

• Real world experience with Ecommerce Brands, DTC, Meta, Ecommerce Saas Products.
• Experience with video, streaming, advertising, and real-time advertising exchanges is a plus.

What We Offer

• Competitive salary and benefits package.
• Flexible work hours and remote work options (3 days per week in office).
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on an exciting and innovative startup.
• Work with a seasoned team of serial entrepreneurs.

Job Description

We are seeking an experienced Account Success Manager to support and optimize our clients' campaigns, ensuring that they achieve their advertising goals and maximize the potential of their creatives and budget. As a key liaison between Upscale AI and our customers, you’ll be responsible for driving account success, providing strategic guidance, and enhancing customer satisfaction through proactive campaign management and support.

Key Responsibilities

• Customer Success & Optimization: Serve as the primary point of contact for customers, understanding their business objectives, and ensuring their campaigns align with these goals. Analyze and optimize campaign performance, providing data-driven insights and recommendations to improve creative effectiveness and ROI. Proactively monitor customer accounts to identify and address issues, recommending adjustments to budget, targeting, and creative elements as needed.
• Campaign Strategy & Execution: Collaborate with customers to develop tailored campaign strategies that leverage our platform’s unique capabilities, aligning with their brand goals and KPIs. Guide clients on best practices for creative design, media placement, and targeting to ensure optimal results. Coordinate with internal teams, including creative, data, and engineering, to execute and refine campaign strategies.
• Relationship Building & Retention: Build and maintain strong relationships with customers, promoting trust and collaboration to ensure long-term satisfaction and retention. Conduct regular check-ins and quarterly reviews, presenting insights, achievements, and strategic recommendations for future campaigns. Gather and report customer feedback to internal teams, advocating for features and solutions that meet evolving client needs.
• Performance Tracking & Reporting: Track, measure, and report on campaign performance and key metrics, providing transparent insights to clients. Utilize data analytics tools to continuously monitor success metrics and develop actionable recommendations. Prepare and present performance reports, highlighting successes and growth opportunities.
• Product & Industry Expertise: Stay informed on industry trends, platform updates, and new features to provide customers with the latest information and ensure their campaigns remain competitive. Act as a subject matter expert on the Upscale AI platform, guiding clients in making the most of our technology.

Preferred Qualifications

• Real world experience with Ecommerce Brands, DTC, Meta, Ecommerce Saas Products.
• Experience with video, streaming, advertising, and real-time advertising exchanges is a plus.

What We Offer

• Competitive salary and benefits package.
• Flexible work hours and remote work options (3 days per week in office).
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on an exciting and innovative startup.
• Work with a seasoned team of serial entrepreneurs.