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About careerzynith – Pioneering the Future of Entertainment
careerzynith is a global leader in streaming entertainment, delivering a personalized, data‑driven experience to millions of viewers across more than 190 countries. With a heritage that began as a mail‑order DVD service and evolved into a cutting‑edge streaming platform, careerzynith now powers a vast library of movies, series, documentaries, and original productions. Our mission is to shape the future of how people discover and enjoy content, leveraging advanced artificial intelligence, machine learning, and causal inference to create a uniquely engaging experience for every subscriber.
Operating from our headquarters in Los Gatos, California, and with a rapidly expanding presence in Brazil, careerzynith is committed to fostering an inclusive, innovative, and collaborative culture. We invest heavily in research and development, and our AI & Causal Inference Research (MLIR) team sits at the heart of this effort, driving breakthroughs that directly influence product strategy, content recommendation, and overall user satisfaction.
Position Overview – Senior AI & Causal Inference Research Lead (Remote, Part‑Time)
We are seeking a visionary research leader to join careerzynith’s MLIR group on a remote, part‑time basis in Brazil. In this role, you will define and execute a research agenda that blends state‑of‑the‑art AI techniques with rigorous causal reasoning, translating complex business challenges into high‑impact scientific projects. You will inspire and guide a senior team of researchers, collaborate with cross‑functional partners, and champion a culture of curiosity, rigor, and rapid experimentation.
Key Responsibilities
- Strategic Leadership: Motivate and lead a senior team of research scientists to develop and scale AI and causal inference capabilities that directly impact careerzynith’s product roadmap.
- Cross‑Functional Collaboration: Partner closely with engineers, product managers, designers, data scientists, finance, and legal teams to identify high‑value research problems and ensure alignment with business objectives.
- Research Excellence: Elevate careerzynith’s research practices by integrating the latest advances in machine learning, statistics, and causal inference, and by establishing robust evaluation frameworks.
- Program Development: Build a sustainable research program that includes internal researchers, external academic collaborations, and graduate interns, fostering a pipeline of talent and ideas.
- Knowledge Dissemination: Increase the visibility of careerzynith’s research through publications, conference presentations, and strategic partnerships with academic institutions.
- Impact Measurement: Balance short‑term product needs with long‑term scientific exploration, ensuring that research outcomes translate into measurable improvements in user experience and business performance.
- Mentorship & Culture Building: Cultivate an open, collaborative environment that encourages experimentation, rigorous debate, and continuous learning across the research community.
Essential Qualifications
- Ph.D. in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, Operations Research, or a related field.
- 10+ years of experience leading high‑impact research teams in industry or academia, with a proven track record of delivering innovative AI or causal inference solutions.
- Demonstrated ability to translate ambiguous business problems into clear, executable research roadmaps.
- Exceptional written and verbal communication skills, with experience presenting complex technical concepts to both technical and non‑technical audiences.
- Strong collaborative mindset, having successfully worked in multidisciplinary environments that span engineering, product, design, and finance.
- Experience establishing and managing external research collaborations, including joint projects, publications, and conference participation.
Preferred Qualifications
- Experience in the entertainment or streaming industry, particularly with recommendation systems, content personalization, or audience analytics.
- Published research in top‑tier conferences or journals in machine learning, causal inference, or related fields.
- Hands‑on expertise with modern ML frameworks (e.g., TensorFlow, PyTorch) and statistical programming languages (e.g., R, Python).
- Background in building scalable research pipelines that transition from prototype to production.
- Fluency in Portuguese and English, enabling effective communication with local and global stakeholders.
Core Skills & Competencies
- Analytical Rigor: Deep understanding of statistical inference, experimental design, and causal discovery methods.
- Technical Mastery: Proficiency in algorithm development, large‑scale data processing, and model deployment.
- Strategic Vision: Ability to anticipate future trends in AI and align research initiatives with careerzynith’s long‑term goals.
- Leadership & Influence: Proven capability to inspire, mentor, and grow high‑performing research teams.
- Business Acumen: Insight into how research outcomes drive product metrics such as engagement, retention, and revenue.
- Collaboration: Strong interpersonal skills to navigate complex stakeholder landscapes and build consensus.
Career Growth & Learning Opportunities
At careerzynith, research leaders are empowered to shape the direction of an industry‑defining product. You will have access to:
- Direct mentorship from senior executives and thought leaders in AI and product strategy.
- Funding for attending premier conferences (NeurIPS, ICML, KDD, etc.) and for publishing groundbreaking work.
- Opportunities to lead cross‑functional initiatives that influence millions of users worldwide.
- Continuous learning resources, including internal workshops, external courses, and a vibrant community of data scientists and engineers.
- A clear promotion pathway that recognizes both scientific contributions and impact on business outcomes.
Work Environment & Culture at careerzynith
Our remote‑first philosophy embraces flexibility, autonomy, and work‑life balance. As a part‑time member of the careerzynith family, you will enjoy:
- A collaborative, inclusive culture that celebrates diverse perspectives and encourages bold ideas.
- State‑of‑the‑art collaboration tools, secure cloud environments, and a supportive IT infrastructure.
- Regular virtual “science cafés,” hackathons, and knowledge‑sharing sessions that keep the team energized.
- Access to a global network of experts across product, engineering, design, and content creation.
- Competitive compensation aligned with market standards for senior research talent in Brazil.
Compensation, Perks & Benefits
careerzynith offers a comprehensive package that includes:
- Hourly rate ranging from R$35 to R$45, commensurate with experience and expertise.
- Performance‑based bonuses tied to research impact and product milestones.
- Health, dental, and vision coverage for you and eligible dependents.
- Retirement savings plan with employer matching contributions.
- Generous paid time off, sick leave, and holidays aligned with Brazilian labor regulations.
- Professional development stipend for courses, certifications, and conference travel.
- Access to careerzynith’s entertainment catalog for personal enjoyment and research inspiration.
Why Join careerzynith?
Joining careerzynith means becoming part of a visionary organization that is redefining how the world consumes entertainment. Your research will directly influence the experiences of hundreds of millions of viewers, shaping the future of personalized content discovery. If you thrive in an environment where scientific curiosity meets real‑world impact, and you are eager to lead a world‑class research team from the comfort of your home in Brazil, we want to hear from you.
Ready to Make an Impact?
Take the next step in your career and help careerzynith push the boundaries of AI and causal inference. Apply today and become a catalyst for innovation that will be felt by audiences around the globe.
Apply Now – Join careerzynith!
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