7 senior software engineer jobs found

Staff Software Engineer, Machine Learning (Safety)   San Francisco, CA   We are seeking an accomplished and experienced Staff Machine Learning Engineer – Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross-functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting-edge solutions that improve safety on the platform. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. Define and drive the Safety ML team’s technical strategy and roadmap. Set the bar in technical reviews, including code, design, and architecture, ensuring the team...

Machine Learning Engineer (15265-1) Newark, NJ   Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate :  Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: Lead and drive machine learning...

Machine Learning Engineer - Infra San Francisco, CA     The Opportunity We are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for enhancing the core features that power our machine learning initiatives. The ideal candidate will have deep experience building scalable software and infrastructure, while consistently adhering to corporate standards and best practices. What you'll do Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions. Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain. Collaborate closely with ML engineers and data scientists to understand and address their...

 GenAI/ML Engineer (9836-1)  Plano, TX     Experience level:  Mid-senior   Experience required:  8 Years   Education level:  Bachelor’s degree   Job function:  Information Technology   Industry:  Information Technology and Services   Pay rate :   $65 per hour    Total position:  1   Relocation assistance:  No   Visa sponsorship eligibility:  No   Job Description Define and own the GENAI solution architecture including model selection, fine-tuning strategy, retrieval-augmented generation (RAG), vector stores, and prompt engineering pipelines. Lead the design, development, and delivery of high-quality, scalable software applications supporting Generative AI initiatives. Collaborate with Data Scientists, MLOps, Cloud Architects, Product Managers, and Legal teams for safe, ethical and...

GenAI/ML Engineer (9836-1) Plano, TX GenAI, Machine Learning, model deployment, python, Develop Minimum Viable Products (MVPs)  If you post this job on a job board, please do not use company name or salary.  Experience level: Mid-senior Experience required: 8 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Job Description Define and own the GENAI solution architecture including model selection, fine-tuning strategy, retrieval-augmented generation (RAG), vector stores, and prompt engineering pipelines. Lead the design, development, and delivery of high-quality, scalable software applications supporting Generative AI initiatives. Collaborate with Data Scientists, MLOps, Cloud Architects, Product Managers, and Legal teams for safe, ethical and compliant AI. Should have hands-on...

AI/ML Engineer  San Jose, CA (Onsite)     Mandatory Skills: AI, Ml, GCP, GKE   Job Description: We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM technology. Responsibilities Generative AI Development:   Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation. Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses....

GenAI/ML Architect (3954-1) Pittsburgh, PA ref GenAI/ML Architect, machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure), MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes)    Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Role – GenAI/ML Architect Business Vertical: Life Sciences, Health Care, Energy, Resources and Utilities Responsibility: • Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency. • Guide data scientists and engineers in developing, training, and deploying machine learning models. • Define best practices for MLOps, including model versioning, monitoring, and retraining...