4 Search Ranking Jobs

About the Company: Highspot is a leading AI-powered sales enablement platform trusted by global enterprises like DocuSign, Siemens, and FedEx. The company unifies content management, sales playbooks, training, coaching, and buyer engagement into a single intelligent system, helping go-to-market teams drive consistent execution and measurable revenue growth. With over $645M in funding from top investors including Tiger Global, ICONIQ, B Capital, and Salesforce Ventures, Highspot is redefining how sales teams perform at scale. About the Role: As a Sr. Software Engineer in Search at Highspot, you will leverage the latest innovation in search/AI technology to improve search relevancy, ranking, and recommendations. Collaborating with key stakeholders, including other product teams and customer-facing teams, you will analyze search-related issues and requirements to architect and develop efficient and scalable solutions. The role involves working with traditional keyword search techniques, hybrid techniques leveraging embeddings, and other uses of AI technology to optimize results for users. You will rigorously measure and drive the quality of the results, requiring individuals who are highly motivated and work well in a team-oriented, iterative, and fast-paced environment. Responsibilities: - Develop highly-available distributed services, including improving existing systems. - Experiment with different techniques to improve search quality, relevance, and experiences. - Help design and develop new search features and functionality. - Partner cross-functionally with UX and Product Management to create an end-to-end experience that customers love. - Write maintainable and testable code. - Contribute to internal and external technical documentation. - Solve problems relating to mission-critical services and build automation to prevent problem recurrence. Required Qualifications: - 6+ years of relevant professional experience, not including internships/co-ops. - Strong understanding of enterprise search and search architecture. - Solid experience with search and related technologies such as Solr, ElasticSearch, Lucene. - Demonstrable experience with schema design, relevancy tuning, boosting, and optimization. - Experience working with cloud services, preferably AWS, Azure. - Experience with search ranking and machine learning is a big plus. Why Join Us At Highspot, you'll work on cutting-edge technology that transforms the way sales and marketing teams operate globally. You'll be part of a high-growth, high-impact culture that values innovation, autonomy, and collaboration. With our strong product-market fit, industry-leading funding, and a passionate team, this is your chance to be part of something big and grow with it.,

Indian Mesh is seeking a highly skilled and passionate Search Lead to drive the evolution of our search capabilities and significantly enhance our customer's search experience. The ideal candidate will possess strong computer science fundamentals and extensive expertise in search technologies, information retrieval, and machine learning, with a desire to build and optimize large-scale, high-performance search systems. Responsibilities: Drive the continuous improvement of our customer's search experience, making it a core focus of all efforts. Work on distributed infrastructure related to search systems, ensuring scalability and reliability. Develop and optimize indexing pipelines for efficient and accurate data processing. Architect and build the next generation of Search features and underlying infrastructure. Understand, measure, and meticulously debug search ranking quality to identify areas for enhancement. Implement strategies and features to significantly improve the quality of our search results and increase conversion rates. Apply advanced Information Retrieval and Machine Learning techniques to retrieve highly relevant results, provide optimal rankings, and implement sophisticated scoring features. Help us tackle complex new challenges, including advancing discovery mechanisms and personalizing search experiences for individual users. Required Expertise & Skills: Strong Computer Science fundamentals. In-depth Lucene expertise. Expert-level proficiency in any of Solr, Elastic Search, or Sphinx. Proven real-world expertise with Information Retrieval, Machine Learning, and Recommendation Systems. Extensive experience working with large, custom search systems. Exposure to architectural patterns of large, high-scale web applications. Hands-on experience in Information Retrieval, Search Ranking, Search Relevance, Machine Learning, or statistical models used in linguistic processing, such such as Hidden Markov Models and Conditional Random Fields. Familiarity with classical statistics and time series analysis.

Indian Mesh is seeking a highly skilled and passionate Search Lead to drive the evolution of our search capabilities and significantly enhance our customer's search experience. The ideal candidate will possess strong computer science fundamentals and extensive expertise in search technologies, information retrieval, and machine learning, with a desire to build and optimize large-scale, high-performance search systems. Responsibilities: Drive the continuous improvement of our customer's search experience, making it a core focus of all efforts. Work on distributed infrastructure related to search systems, ensuring scalability and reliability. Develop and optimize indexing pipelines for efficient and accurate data processing. Architect and build the next generation of Search features and underlying infrastructure. Understand, measure, and meticulously debug search ranking quality to identify areas for enhancement. Implement strategies and features to significantly improve the quality of our search results and increase conversion rates. Apply advanced Information Retrieval and Machine Learning techniques to retrieve highly relevant results, provide optimal rankings, and implement sophisticated scoring features. Help us tackle complex new challenges, including advancing discovery mechanisms and personalizing search experiences for individual users. Required Expertise & Skills: Strong Computer Science fundamentals. In-depth Lucene expertise. Expert-level proficiency in any of Solr, Elastic Search, or Sphinx. Proven real-world expertise with Information Retrieval, Machine Learning, and Recommendation Systems. Extensive experience working with large, custom search systems. Exposure to architectural patterns of large, high-scale web applications. Hands-on experience in Information Retrieval, Search Ranking, Search Relevance, Machine Learning, or statistical models used in linguistic processing, such such as Hidden Markov Models and Conditional Random Fields. Familiarity with classical statistics and time series analysis.

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Machine Learning, ML, ml architectures and lifecycle, Airflow, Kubeflow, MLFlow, Spark, Kubernetes, Docker, Python, SQL, machine learning platforms, BigQuery, GCS, Dataproc, AI Platform, Search Ranking, Deep Learning, Deep Learning Frameworks, PyTorch, TensorFlow About the job Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. What youll do Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations. Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience. Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems. Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. We Are a Match Because You Have: Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale. Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity Nice to have Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks). Experience in computational advertising, bidding algorithms, or search ranking Experience with deep learning frameworks like PyTorch, Tensorflow, etc.