• Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) • Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. • Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX • Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. • Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. • Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

Audio Lead (Games) Santa Monica, Los Angeles / Austin, Texas (Remote) / Seattle, Washington Skydance Games – Interactive Audio / Full Time / Remote Skydance Games, a division of Paramount, a Skydance Corporation, is building the future of franchise-driven interactive entertainment. As part of a global storytelling company defined by iconic worlds and multigenerational fandom, we see gaming not as an extension of our brands, but as one of the most powerful ways their stories come to life and evolve alongside the audiences who love them. Through creativity, collaboration, and trust, we empower our teams to push boundaries and turn bold ideas into experiences that resonate with fans around the world. Do you want to craft games that challenge expectations and inspire players? Come build something extraordinary with us. For more information on how we process your personal information, please review the Privacy policy located at https://privacy.paramount.com/recruitment-privacy-notice. Why Join Us? To put it simply: You’ll work with great people, making top-tier, high-quality interactive experiences for the highly acclaimed new title, “Marvel 1943: Rise of Hydra”. We have assembled the best external development, publishing and IP partners in the world. Our internal team will remain small relative to other AAA developers so we can all maintain the highest levels of familiarity, trust and effectiveness. You’ll be surrounded by industry veterans, currently with an average of 20 years’ experience, in a climate of mutual trust, maturity, candor and playful collaboration. We believe that life’s too short to work with difficult people, regardless of talent, so exceptional character and strong principles are requirements for every role. Your days will be focused on solving creative and technical problems, not navigating corporate politics. Currently for this role, we can hire remote candidates with legal residence in Arizona, California, Florida, Michigan, New York, North Carolina, Texas, Washington and Canada. What You’ll Do: We are searching for an Audio Lead to join our core team developing a high-quality AAA single-player story- driven action-adventure game built using the Unreal Engine. As Audio Lead, you will define the creative vision, technical direction, and production standards for all audio in the project. You will guide, mentor, and support the sound design teams, ensuring our audio deepens immersion, strengthens gameplay clarity, and enhances emotional impact. We only hire talented, collaborative people with strong communication skills who are laser focused on achieving excellent results. In This Role, You Will - Define and champion the overall audio vision, ensuring it aligns with the game’s tone, narrative, and player experience goals. - Plan, source, and supervise external audio partners, composers, voice talent, and vendors as needed. - Review and approve audio assets to ensure quality, consistency, and technical performance standards are met, providing clear direction and feedback. - Oversee the end-to-end audio pipeline, from concept through implementation and final polish. - Collaborate closely with design, engineering, and art leads to ensure audio is fully integrated into gameplay systems and production workflows. - Partner with engineering to establish best practices for implementation in Unreal Engine. - Focus on clarity, mix balance, emotional impact, and accessibility. - Create and maintain documentation, pipelines, and standards that support a sustainable and efficient audio workflow. - Own scheduling, budgeting, and resource planning for all audio-related work. We Are Looking For: - Demonstrated experience leading audio teams on shipped PC and/or console titles. - Strong working knowledge of Unreal Engine and Wwise, with a solid understanding of technical implementation (even if not executing it directly). - Proven ability to manage vendors, contractors, composers, and voice production. - Experience overseeing adaptive or interactive music systems. - Deep understanding of cross-platform audio requirements, optimization, and certification considerations. - Strong communication skills and the ability to advocate for audio across disciplines. - Comfort working in a collaborative, remote-friendly studio environment. - A proactive, solution-oriented mindset suited to a small or growing team. The annual salary range for this position in Los Angeles is $125,000 – $165,000. The salary offered may vary based on the candidate’s location, qualifications, experience and relevant expertise, among other factors. The range indicated is for base salary only and does not reflect the total compensation package, including bonus, benefits, etc. We realize that skills and expertise can come from many different experiences and paths, and we encourage you to apply even if you don’t meet all of the requirements as written in the job description. Paramount, a Skydance Corporation is a diversified media company creating high quality, event-level entertainment for global audiences. The Company brings to life stories of immersive worlds across its feature film, television, interactive/games, and animation divisions. Recruitment Fraud Alert It has come to our attention that there may be fraudulent activity by individuals impersonating our Talent Acquisition team. Skydance will only contact you from an official “@skydance.com” email address. If you suspect that you are being contacted by an unauthorized person or believe that the correspondence you have received is suspicious, please do not click on any links or attachments in such emails and submit any questions or concerns to our information security team at https://skydance.com/report-suspected-fraud/.

Role Description We are seeking an experienced Senior AI/ML Engineer to join our growing technology team and drive the development of intelligent, data-driven solutions that solve complex business challenges. This role is ideal for professionals who are passionate about building production-grade Artificial Intelligence and Machine Learning systems while working on large-scale enterprise applications. You will collaborate with cross-functional teams including data scientists, software engineers, product managers, and business stakeholders to design, develop, deploy, and optimize AI-powered products that deliver measurable business value. As a Senior AI/ML Engineer, you will play a key role in the end-to-end AI lifecycle—from data preparation and model development to deployment, monitoring, and continuous improvement. You will contribute to architectural decisions, mentor junior engineers, and ensure AI solutions are scalable, secure, and aligned with business objectives. Candidates with exposure to financial services, particularly banking and credit risk domains, will have an added advantage. Key Responsibilities - Design, build, and deploy scalable Artificial Intelligence and Machine Learning solutions for real-world business problems. - Develop, train, evaluate, and optimize machine learning models using structured and unstructured data. - Build robust data pipelines for feature engineering, model training, validation, and inference. - Deploy ML models into production environments and monitor performance, scalability, and reliability. - Collaborate with engineering teams to integrate AI capabilities into enterprise applications and APIs. - Evaluate new AI techniques, frameworks, and technologies to improve solution effectiveness. - Implement model monitoring, retraining strategies, and MLOps best practices for production systems. - Work closely with product managers and business stakeholders to translate business requirements into AI-driven solutions. - Mentor junior engineers by conducting code reviews and sharing best practices in AI and software engineering. - Ensure compliance with security, governance, and responsible AI principles throughout the development lifecycle. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline. - 5–9 years of professional experience in AI/ML engineering, software development, or data science. - Experience delivering AI solutions in production environments with measurable business impact. - Strong analytical thinking, problem-solving, and communication skills. - Ability to work effectively in agile, collaborative, and fast-paced development environments. Requirements - Strong expertise in Artificial Intelligence concepts, algorithms, and modern AI frameworks. - Hands-on experience in Machine Learning, including supervised and unsupervised learning techniques. - Proficiency in Python and popular ML libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar. - Experience with feature engineering, model optimization, hyperparameter tuning, and performance evaluation. - Strong understanding of deep learning, NLP, computer vision, or generative AI concepts. - Experience building scalable AI applications using cloud platforms and containerized environments. - Familiarity with REST APIs, microservices architecture, and software engineering best practices. - Strong knowledge of SQL, data processing frameworks, and distributed computing concepts. - Experience with version control systems, CI/CD pipelines, and MLOps tools. Good-to-Have Skills - Domain knowledge in Wholesale Banking processes and enterprise financial workflows. - Understanding of Corporate Banking products, lending operations, and financial data ecosystems. - Experience developing AI solutions for Credit Risk assessment, underwriting, fraud detection, or risk analytics. - Familiarity with regulatory compliance, explainable AI, and model governance in financial institutions.

Role Description As a Senior Machine Learning Engineer, you will work on developing, deploying predictive models and genAI capabilities that support various business functions. Your daily activities include: - Exploring data to define problem statements - Building and optimizing machine learning models - Monitoring their performance in production environments - Collaborating with cross-functional teams to integrate machine learning solutions into products - Staying informed about the latest advancements in the field to continuously improve model effectiveness and innovation Who you are: - Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time - Experiment with Proof-Of-Concept Machine Learning (POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology - Mentor other software engineers, data scientists, and Machine Learning Engineers in the team - Break down larger Machine Learning initiatives into pieces that deliver incremental business value and implement them - Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR) Qualifications - Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience - Prior success in deploying impactful Machine Learning solutions to large-scale production systems - Solid knowledge of data structures and algorithms - Exceptional sense of ownership - Excellent written and verbal communication in English, effective with technical audiences - Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) Benefits - Quarterly bonuses - Restricted Stock Units (RSUs) - Paid Time Off policy - Region-specific benefits Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Salary Range Transparency - Tier 1 - United States of America: $138,000 - $208,000 USD per year - Tier 2 - United States of America: $154,000 - $230,000 USD per year - Tier 3 - United States of America: $169,000 - $253,000 USD per year - Tier 4 - United States of America: N/A - Tier 5 - United States of America: $193,000 - $289,000 USD per year EEO and Accommodations Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive.