{"id":3269674,"url":"https://alion.io/job/google-deepmind-technical-lead-manager-applied-ai-2","title":"Technical Lead Manager, Applied AI","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":174000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"Machine Learning","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-10-26T07:07:31Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-01T11:41:21Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About the job\nAs a Technical Lead Manager (TLM), you will lead the development and deployment of novel applications, leveraging Google’s generative AI models. You will focus on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top Google customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest generation models. In this role, you will have strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. You will be motivated by the opportunity to drive product and business impact, and develop strong relationships with research teams.\nYou will require a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. You will grow in fast-moving environments, and have the proven ability to deliver high-quality code and guide a team to success. You will have experience in end-to-end development, the ability to mentor and develop junior engineers. You will have experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.\nArtificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nResponsibilities\nLead the architecture, design, and development of new scalable products and software applications from 0 to 1, leveraging generative AI models.\nGuide the team in rapidly developing new features, iterating quickly based on evaluation results.\nCollaborate with researchers and product managers to translate research advancements into tangible product features, and partner with the PM team to qualify and seize new project opportunities.\nMentor and develop team members, fostering a collaborative and high-performing environment.\nOversee the optimization of software performance, ensure the reliability of deployed applications, and advocate best practices for building and deploying generative AI applications.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.\n8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).\n7 years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.\n5 years of experience in one or more ML fields (e.g., media generation, reinforcement learning, infrastructure, etc.).\nPreferred qualifications:\nExperience with generative AI models and applications and evaluating model performance, analyzing results, and implementing improvements.\nExperience with front-end development.\nProven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.\nExperience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform).\nExperience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.\nContributions to open-source projects.","description_format":"text","description_chars":4051,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":7,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Foundation Models","AI Research Labs","AI for Science"],"lifecycle":[{"event":"open","at":"2026-10-26T11:01:34Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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