Urgent! Software Engineer, Machine Learning Job Opening In Bengaluru – Now Hiring LinkedIn
LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce.
Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day.
Were also committed to providing transformational opportunities for our own employees by investing in their growth.
We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform.
This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI.
You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design.
Together, we are creating immense economic value for our customers using the largest global professional economic graph.
As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.
The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
+ Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
+ Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
+ Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
+ Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
+ Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
+ Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
+ Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
+ Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
Basic Qualifications
+ Bachelor's degree or related practical experience
+ 2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
Preferred Qualifications
+ Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
+ 3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
+ Understanding of standard programming and software engineering practices
+ Proven track record of publishing at academic and industry venues
+ Ability and eagerness to program
Suggested Skills
+ Machine Learning
+ Generative-AI
+ Large Language Models
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families.
That is why we offer generous health and wellness programs and time away for employees of all levels.
**India Disability Policy**
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities.
For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
**Global Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
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Unlock Your Software Engineer Potential: Insight & Career Growth Guide
Real-time Software Engineer Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Software Engineer in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 620809 jobs in India and 47361 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Software Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! LinkedIn is currently hiring and seeking a Software Engineer, Machine Learning to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Software Engineer, Machine Learning Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at LinkedIn adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Software Engineer, Machine Learning Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Software Engineer, Machine Learning typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Software Engineer, Machine Learning interview at LinkedIn, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the LinkedIn's products or services and be prepared to discuss how you can contribute to their success.
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