tvScientific logo
tvScientific

Performance TV Advertising Platform

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerOtherRemoteSeniorTeam 51-200Since 2020H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

99 days ago

Salary

$123.7K - $254.7K / year

Seniority

Senior

Bachelor DegreeEnglishPython

Job Description

Machine Learning Engineer

tvScientific

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments • Use LLMs and generative AI to accelerate internal ML workflows • Validate new bidding and optimization strategies before they touch live traffic • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

Job Requirements

  • Strong production Python skills and experience building simulation or modeling systems
  • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows
  • Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  • Ability to translate business questions into rigorous simulation frameworks
  • Clear written communication: you'll need to define new technical directions
  • Ownership: scope, design, and ship systems end-to-end with minimal direction
  • Nice-to-Haves: Causal inference; discrete event simulation; reinforcement learning; MLOps experience.

Benefits

  • Equity
  • Health insurance
  • Flexible work arrangements

Related Job Pages

More Machine Learning Engineer Jobs

Full TimeRemoteTeam 11-50H1B No Sponsor

• Design, implement and maintain cloud environments capable of supporting AI workloads in a scalable and resilient manner. • Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines for training, versioning and deploying models and applications. • Work directly on the development and integration of AI-based solutions into the company's ecosystem. • Build data pipelines that ensure the quality, availability and governance of the data used by the models. • Translate complex requirements into functional architectures, following best practices for security, performance and cost optimization.

Brazil
Full TimeRemoteTeam 1-10H1B No Sponsor

Role Description Every day, the models make financial decisions that affect real people. Credit approvals, fraud blocks, transaction risk scores. If a model drifts silently in production, customers get wrongly declined. If a pipeline breaks at 2am, no one catches it until the damage is done. This role exists to make sure that does not happen. You will own the infrastructure that takes ML models from a data scientist's notebook into production systems processing millions of events daily, and keeps them running reliably across multiple regulatory jurisdictions. Not maintaining someone else's setup. Building and owning it. What You Will Work On - Model pipelines: Design and operate automated training, validation, deployment, and rollback workflows across our credit scoring, fraud detection, and transaction risk models. - Production monitoring: Build observability for ML specific failure modes including data drift, prediction drift, and feature skew, not just system uptime. - Compliance instrumentation: Maintain full audit trails and model cards required for internal model risk reviews and regulatory examination under EU AI Act and GDPR. - Infrastructure ownership: Run Kubernetes based ML serving on AWS or Azure, manage CI/CD pipelines that version code, data, and models simultaneously. - Reliability and incident response: Define SLAs for latency sensitive scoring models and own the full response when something breaks in production. - Cost management: Optimise cloud spend for GPU training jobs and batch inference workloads, compute budgets in fintech are scrutinised closely. Qualifications - Production ML pipelines you built yourself. - Kubernetes in production. - ML lifecycle ownership. - Monitoring for ML specific failures. - Regulated environment experience. Requirements - Core: Python, Docker, Kubernetes, GitHub Actions or GitLab CI. - ML Platform: MLflow, Apache Airflow or Prefect. - Cloud: AWS SageMaker with EKS, or Azure ML with AKS. - Monitoring: Prometheus, Grafana, Evidently AI. - Data: Spark, PostgreSQL, S3 or Azure Blob. - Useful but not required on day one: Terraform, feature stores such as Feast or Tecton, LangChain for LLM pipeline integration, SHAP or LIME for explainability. How to Apply This role is open to EU based candidates only. We are not considering applications from outside the European Union at this time, regardless of remote working arrangements or timezone compatibility. Submit your CV and record a short video answer to one question: Describe a machine learning pipeline you built and owned in production. What broke, how did you detect it, and what did you change? The video format is uncomfortable. We know that. If you still do it, that already tells us something. How Applications Are Assessed I want to be upfront about how this works before you invest your time. - Every CV is scored against the 5 non-negotiable requirements only. One point per requirement. 5 out of 5 to proceed. Not 4. - If a requirement is listed as a tool or skill without context describing what you built and what it served, it scores 0. - I compare all applications before advancing anyone. If the pool of 5 out of 5 scores is larger than 15, I rank by depth of regulated environment experience and scale of systems owned. The top 15 go forward. If fewer than 15 score 5 out of 5, all of them go forward. - The video is reviewed by me and the team together. We are not assessing your camera confidence. We are assessing whether your answer is specific, whether you owned what you are describing, and whether your response to a real production failure was sound. - I do not follow up to ask for clarification on an ambiguous CV. What is written is what is scored. - You will hear back from us regardless of outcome. That is a promise, not a pleasantry. Hubert Warszta Tech Recruiter | WhyHireWrong?

Europe
Job Closed
Boston University logo

Learning Designer

Boston University

Boston University is a vibrant university with over 32,000 students enrolled in undergraduate, graduate, professional, and non-degree programs. Boston University is comprised of 17

Boston University Virtual is a unit at Boston University focused on the creation of high-quality online degree and certificate programs. We are seeking an experienced Learning Designer to work collaboratively with faculty, subject matter experts and the broader learning design team to design, develop, enhance and deliver high-quality, differentiated online programs. The Learning Designer has a broad range of skills in designing and developing online programs and courses across disciplines and for a global audience. They are well versed in program design and development, learner journey mapping, establishment of objectives and course outcomes, rubrics, creation and curation of compelling and differentiated content and resources, all while adhering to learning science and quality standards. The ideal candidate has worked extensively in a dynamic and agile online environment, and has a passion for creating meaningful learning experiences in a digital world. This individual also has the ability to lead, collaborate and influence across teams and in sessions that involve stakeholders across a variety of academic and industry sectors to deliver on a common vision and to drive alignment and strong execution in the creation of best-in-class online programs. This is a tremendous opportunity to join a growing team, and to have an instrumental role in the design and development of an online portfolio of programs. Primary Responsibilities: Collaborate and lead the instructional design and program and course development activities, working with a broad range of stakeholders including faculty, learning designers, subject matter experts, learning facilitators, media producers, and others on the design, delivery and continuous improvement of online programs and courses. Ensure that instructional goals and objectives are in place and connected across courses and programs and design courses in alignment with those goals. Develop and align to common frameworks that may include objectives, skills mapping, grading, assessments, rubrics, and other components. Create interactive learning experiences and compelling course content that enhances student knowledge, application, and engagement. Visualize instructional graphics and design exercises, simulations, audio, video and activities that leverage innovative and emerging technologies. Apply proven pedagogical and instructional guidance in the design, delivery and enhancement of online programs and courses both for synchronous and asynchronous delivery. Guide faculty through the design and development process including writing learning objectives and course outlines, script development, assessment and assignment creation, media planning and visual storyboards. Cultivate collaborative and professional relationships with a diverse set of stakeholders across schools and colleges aligning on priorities, objectives and agreed upon timelines. Collaborate with Media Producers in the conceptualization and design of supporting elements that augment and enhance the program and learner experience. Ensure all programs and courses meet accessibility standards and support an environment that promotes diversity, equity and inclusion. Play a key role in documenting and updating standards for designing and developing programs and courses at BU Virtual; keep abreast of new andragogy's and instructional design techniques in online learning. Proven experience working in instructional design and with instructional technology, preferably in an online, edtech or university environment. 5-7 years of hands-on experience in the design, development, and delivery of digital instructional content; experience with graduate or professional students is a plus. Demonstrated ability to apply instructional design principles, learning theory, and educational technologies in the design and development of learning experiences. Strong familiarity and experience working with education technology tools and technologies including content management systems, learning management systems, collaboration tools, and others that enable the creation of a quality online learning environment. Strong writing and visual design conceptualization skills the ability to storyboard concepts and approaches to bring learning alive in an online environment. Ability to write effective copy, instructional text, and audio/video scripts. Sound understanding of lesson and curriculum planning and the implications design details have on course delivery for large online cohort-based programs. Familiarity with building programs and courses inside of the university's learning management system. Strong attention to detail, and the ability to manage and navigate success in an environment where there may be conflicting priorities. Strong communication and collaboration skills; an ability to lead and influence teams in a highly collaborative environment, while also demonstrating hands-on skills. Ability to adapt to change and steer new models and approaches in a dynamic and fast paced environment. A strong team player and problem solver with a bias for action and delivering on results. Bachelor's or master's degree in instructional design, education technology or related field. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

United States
Job Closed
Southern State Community College logo

Math Adjunct Instructor

Southern State Community College

Southern State is committed to its mission to provide accessible, affordable and high quality education to people in southern Ohio. The college values honesty and integrity in all endeavors, tolerance for different ideas, respect for all individuals and excellence and creativity in the pursuit of knowledge.

This role involves engaging students in the teaching/learning process for a variety of Mathematics courses (e.g. basic math, beginning algebra through post-calculus, and statistics). Plan and teach courses which fulfill the current curriculum goals and objectives. Remain current with subject matter and instructional methodology. Post office hours with the Onsite Faculty Administrative Support as necessary, based on students’ needs. Employ appropriate assessment techniques to measure student performance in achieving course goals and objectives. Communicate progress in the course to students in a timely manner. Comply with the policies, procedures, and standards found in the Southern State Community College Policy and Information Manual. Determine and submit students’ grades in accordance with established College policies and procedures. Attend one Adjunct Faculty Orientation and Development event per academic year. Become familiar with the College’s ‘Emergency Crisis Response Plan,’ and follow the campus’ protocol for drills and emergency situations. Support the mission of the program, division, and College. Work assigned schedule, exhibit regular and punctual attendance, and work outside of normal schedule as needed to meet workload demands.

United States
Job Closed