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Senior Android Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current senior android engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

J
Jumio
📍 India• Full-time• Remote
7mo ago

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do 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. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

REMOTEpythonawsmachine learning
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P
Pinterest
📍 San Francisco• Remote• $79.2K – $163.1K/yr
Just now

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary Join the tvScientific team as a Senior Account Executive on our CPA team, where you'll play a pivotal role in driving new business and revenue growth. In this position, you will focus on building and closing high-value client relationships within the cost-per-acquis

REMOTEaiCRM
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CH
1 day ago

Opportunity Overview: We’re seeking a Senior Clinical Informatician to serve as a key bridge between clinical expertise and data science. In this advanced role, you’ll apply deep clinical reasoning and informatics expertise to design, evaluate, and optimize data-driven healthcare solutions. You’ll also lead ontology mapping, structured data validation, and annotation quality initiatives supporting our next-generation AI and LLM-enabled healthcare tools. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Collaborate with clinicians, data scientists, and engineers to design and validate digital health and analytics solutions. Translate clinical workflows into structured data and logic for algorithms and quality measurement. Lead efforts in ontology mapping, terminology management (SNOMED, ICD, LOINC, RxNorm), and interoperability standards (FHIR, HL7). Oversee labeling and abstraction to ensure model safety, accuracy, and clinical integrity. Mentor junior informaticians and specialists in annotation, data validation, and workflow improvement. What you’ll need: BSN or related clinical degree with active RN license required. 4–6+ years of experience in clinical informatics, analytics, or digital health. Advanced understanding of clinical data, EHR systems, and data standards. Experience with data modeling or AI-driven healthcare products preferred. Master’s degree or informatics certification (RN-BC, CPHIMS, ACHIP, etc.) a plus. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this p

Work Flexibility: Hybrid The Senior Quality Management System Specialist will help design, maintain, and continuously improve a quality management system that supports regulatory approval and business growth across global markets. You’ll collaborate across functions to ensure quality processes are not only compliant, but practical, efficient, and future‑ready. Activities include Quality System documentation, Internal Quality Agreements, Supplier Quality Agreements, and general QMS activities related to Mergers and Acquisitions. This role is Hybrid in Portage, Michigan . What You Will Do Support and maintain a compliant Quality Management System aligned with global medical device regulations to enable product certification and regulatory clearances. Develop and update quality system processes, procedures, and documentation to reflect business needs and regulatory expectations. Assess and quantify quality system requirements to optimize structure, integration, and scalability. Identify and implement continuous improvement opportunities that increase efficiency and effectiveness of quality processes. Support management review, quality planning forums, and related governance activities with data-driven inputs. Partner with stakeholders to ensure quality processes reflect actual operational activities, including support for new product development. Prepare for and support internal, external, and third‑party quality system audits, including responses and follow‑up actions. Contribute to quality system training content and delivery to ensure effective adoption across the organization. What You Will Need Bachelor’s degree in science, engineering, business, or a related discipline. <

The Engineering Lead Analyst – Test Automation Platform Engineering is a senior-level technical leadership role responsible for driving the architecture, implementation, management, operational support, and continuous enhancement of enterprise test management and automation platforms. In this role, you will lead efforts to modernize test automation capabilities across the global technology ecosystem. You will architect end-to-end integration workflows, embed automated quality gates into enterprise CI/CD pipelines, and administer as well as operationally support both vendor and internally developed enterprise platforms (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, CSDP / Octane). Additionally, you will play a critical role in production operations—delivering tier-3 platform support to rapidly and safely troubleshoot, triage, and remediate performance and availability issues in complex, distributed production environments. The ideal candidate blends deep hands-on expertise in software testing frameworks, modern DevOps pipelines, containerized infrastructure, message-driven integration, and robust operational resilience practices with strong governance, compliance, and stakeholder leadership skills. Key Responsibilities 1. Platform Engineering & Operational Support Install, configure, upgrade, administer, and support enterprise test management and performance engineering toolsets (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, Core Software Development Platform [CSDP] / Octane). Provide end-to-end operational support for

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H
25 days ago

Become a part of our caring community The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. Key Responsibilities Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services. Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage fo

REMOTEpythonkuberneteslinux
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Brief Description of the Organization Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Citi’s Personal Banking and Wealth Management (PBWM) division is building a purpose-driven team to serve its globally diverse, digitally forward customers in top cities around the world. We’re looking for exceptional candidates who think digitally and differently, resolve problems in unconventional ways and strive to provide a remarkable experience for our clients. We define success by our Citi Leadership Principles: We Take Ownership, We Deliver with Pride and We Succeed Together. Overview of the Role The Head of USCC Personal Loans Core Platforms and Lending Integrations is accountable for the execution and delivery of next-generation API integration platforms across value proposition, lending, and commerce ecosystems. This role owns a critical engineering function responsible for building scalable, secure, and compliant integration platforms that support Value Cards, Lending and Commerce business in USCC. The individual applies deep technical expertise and strong business understanding to translate strategic priorities into enterprise-grade API integration solutions. This is a highly technical leadership role, requiring the individual to actively drive architecture, influence low-level design, and guide implementation through principal and senior engineers. The role is expected to set engineering standards, define technical guardrails, and contribute hands-on where required, including the ability to review, prot

awsazuregcp
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CH
1mo ago

Opportunity Overview: We are seeking a Senior Engineering Manager to lead our Review Engineering team — roughly 20+ engineers across three squads in the US and India — building the workflows and capabilities that let clinical operations staff deliver care at scale, efficiently and with high quality. Leading through dedicated technical leads on each squad, you'll own the reliability and technical direction of Review's systems while partnering closely with Product, Design, Security, Clinical Operations, and peer engineering teams on shared platforms. This is an opportunity to shape a growing, business-critical part of Cohere's platform and to grow the next generation of engineering leaders in health technology. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Lead 20+ engineers across multiple agile squads (US and India) through dedicated technical leads Own production reliability for Review-owned systems — incident response, root-cause RCAs, and cross-functional tiger teams for major incidents Set technical vision and provide leadership across design and sprint processes, partnering with Staff Engineers Drive delivery transparency through sprint metrics, catching risk early and informing data-driven interventions Partner with Product, Design, Security, Clinical Ops, and peer engineering teams (including our Hyderabad group) on shared systems and initiatives Own hiring, leveling, and career growth for direct reports and their leads; help attract and retain top talent Build a culture that grows early-career engineers into future health-tech leaders, with a bias toward team autonomy Champion testing, quality, and security practices in a regulated (HIPAA/SOC2) environment What you’ll need: 5+ years managing software engineering teams in a fast-paced, agile environment, including 3+ years leading multiple teams through technical leads or managers Exper

CH
Cohere Health
📍 Hyderabad• Full-time
2mo ago

Opportunity Overview We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data. What You'll Do Semantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems. AI-Native Prototyping : Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers. Security & Compliance Leadership : Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation. Cross-Functional Collaboration : Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders. ISMS roles and responsibilities Good knowledge of Informati

pythonsqlaws
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Why Jencap? We are one of the largest wholesale insurance intermediaries in the United States with expertise in wholesale brokerage, binding authority, and program management. The common thread woven throughout our success story is our collaborative and driven team of people. Our teams are empowered and work together to find solutions. We have a passion culture – with teamwork, collaboration and a focus on growing individuals and giving them the tools & development opportunities to have a successful career. Jencap Summer Insurance Internship: Why consider an internship with Jencap, a leading national wholesaler? We are offering you a unique experience that will be both challenging and rewarding in addition to providing you with hands-on experience! The Internship Program will run for nine weeks beginning in June 2027. As an intern you will: Be assigned mentors and have a working relationship with them. Shadow staff members and join team meetings and activities. Be assigned meaningful work assignments with one of our core business units: Brokerage or Delegated Binding Authority Regularly engage with the Senior Vice President of Training & Development and other interns on training and education hubs. Participate in a group assignment with other interns offering meaningful ideas through a final presentation to Jencap leaders at the end of the internship. Hiring in multiple Jencap offices including : Atlanta, GA; Worcester, MA; Springfield, MO; Red Bank, NJ, Houston, TX Why Jencap? We are one of the largest wholesale insurance intermediaries in the United States with expertise in wholesale brokerage, binding authority and program management. The common thread woven throughout our success story is our collaboration and driven team of people. Our teams are empowered and work together to find solutions. We have a passionate culture that includes teamwork and collaboration. Jencap has a great focus on growing individuals, including giving them the

Position Overview The Product Consultant is a senior, customer facing role responsible for guiding clients through product selection, technical considerations, and order execution within their assigned product category. This role blends product expertise, consultative selling, and operational precision to deliver an exceptional client experience from initial engagement through estimate and quote delivery. Product Consultants are accountable for accurate estimating and/or quoting, clear communication, and smooth handoffs , working closely with Design Center leadership, Coordinators, Outside Sales, vendors, and operations teams. While category expertise may vary, the expectations for professionalism, ownership, and execution remain consistent across all Product Consultants. Core Responsibilities Client Engagement & Sales Engage clients with confidence and professionalism, identifying needs through active listening and thoughtful questions Provide expert guidance on product options, compatibility, design considerations, and general installation implications Prepare accurate quotes, estimates, and special-order documentation within expected turn times Deliver a high touch, consultative experience aligned with Design Center standards Product Expertise Maintain deep working knowledge of assigned product categories, including specifications, options, limitations, and lead times Interpret drawings, measurements, and technical documents with accuracy Stay current on vendor offerings, product updates, and industry trends Clearly explain technical information in a client friendly, approachable manner Operational Excellence Process quotes/estimates/orders with precision, ensuring accuracy in pricing, quantities, specifications, and documentati

warehouserecruitment
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Position Overview The Product Consultant is a senior, customer facing role responsible for guiding clients through product selection, technical considerations, and order execution within their assigned product category. This role blends product expertise, consultative selling, and operational precision to deliver an exceptional client experience from initial engagement through estimate and quote delivery. Product Consultants are accountable for accurate estimating and/or quoting, clear communication, and smooth handoffs , working closely with Design Center leadership, Coordinators, Outside Sales, vendors, and operations teams. While category expertise may vary, the expectations for professionalism, ownership, and execution remain consistent across all Product Consultants. Core Responsibilities Client Engagement & Sales Engage clients with confidence and professionalism, identifying needs through active listening and thoughtful questions Provide expert guidance on product options, compatibility, design considerations, and general installation implications Prepare accurate quotes, estimates, and special-order documentation within expected turn times Deliver a high touch, consultative experience aligned with Design Center standards Product Expertise Maintain deep working knowledge of assigned product categories, including specifications, options, limitations, and lead times Interpret drawings, measurements, and technical documents with accuracy Stay current on vendor offerings, product updates, and industry trends Clearly explain technical information in a client friendly, approachable manner Operational Excellence Process quotes/estimates/orders with precision, ensuring accuracy in pricing, quantities, specifications, and documentati

warehouserecruitment
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Position Overview The Product Consultant is a senior, customer facing role responsible for guiding clients through product selection, technical considerations, and order execution within their assigned product category. This role blends product expertise, consultative selling, and operational precision to deliver an exceptional client experience from initial engagement through estimate and quote delivery. Product Consultants are accountable for accurate estimating and/or quoting, clear communication, and smooth handoffs , working closely with Design Center leadership, Coordinators, Outside Sales, vendors, and operations teams. While category expertise may vary, the expectations for professionalism, ownership, and execution remain consistent across all Product Consultants. Core Responsibilities Client Engagement & Sales Engage clients with confidence and professionalism, identifying needs through active listening and thoughtful questions Provide expert guidance on product options, compatibility, design considerations, and general installation implications Prepare accurate quotes, estimates, and special-order documentation within expected turn times Deliver a high touch, consultative experience aligned with Design Center standards Product Expertise Maintain deep working knowledge of assigned product categories, including specifications, options, limitations, and lead times Interpret drawings, measurements, and technical documents with accuracy Stay current on vendor offerings, product updates, and industry trends Clearly explain technical information in a client friendly, approachable manner Operational Excellence Process quotes/estimates/orders with precision, ensuring accuracy in pricing, quantities, specifications, and documentati

warehouserecruitment
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J
2mo ago

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do 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. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

REMOTEpythonawsmachine learning
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