Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences. This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow.

Calix

Senior Machine Learning Engineer

VP of Demand, Digital, and Experience Marketing

Solution Test Engineering Intern

Staff Software Engineer - Cloud Platform

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As a Senior Machine Learning Engineer at Calix, you will design, develop, and deploy advanced AI models for content generation and natural language understanding. You'll collaborate with a team of experts to create innovative generative AI solutions, optimizing models like GPT and Transformer architectures. This includes preprocessing data, training models, evaluating performance, and integrating them into production environments. This role involves continuous learning and staying updated on the latest advancements in AI.

Network Software Engineer

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value. This is a remote-based position that can be located anywhere in the United States or Canada.Our Products Team is growing and we're looking for a highly skilled Senior Machine Learning Engineer to join our cutting-edge Generative AI project. In this role, you will play a key part in designing, developing, and deploying advanced AI models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI researchers to build systems that push the boundaries of what generative AI can achieve.Key Responsibilities:<ul><li>Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.</li><li>Optimize Generative AI Models: Enhance the performance of models like GPT, VAEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.</li><li>Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.</li><li>Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.</li><li>Performance Evaluation: Evaluate models’ performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.</li><li>Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams including AI researchers, data scientists, and software developers to integrate ML models into production systems.</li><li>Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.</li><li>Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.</li><li>Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.</li></ul>Qualifications:<ul><li>Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.</li><li>3-5+ years focus on Machine Learning.</li><li>5+ years overall software engineering in production</li><li>Proven experience with generative AI models such as GPT, VAEs, GANs, or Transformer architectures.</li><li>Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.</li><li>Expertise in Python and libraries such as NumPy, Pandas, Scikit-learn.</li><li>Experience with Natural Language Processing (NLP), image generation, or multimodal models.</li><li>Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.</li><li>Strong background in data manipulation, data engineering, and working with large datasets.</li><li>Strong coding experience in Python, Java, Go, C/C++, R&nbsp;</li><li>Good data skills – SQL, Pandas, exposure to various SQL and no SQL data bases</li><li>Solid development experience with dev cycle on Testing and CICD</li><li>Strong problem-solving abilities and attention to detail.</li><li>Excellent collaboration and communication skills to work effectively within a multidisciplinary team.</li><li>Proactive approach to learning and exploring new AI technologies.</li></ul>Preferred Skills:<ul><li>Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.</li><li>Familiarity with distributed training and high-performance computing (HPC) for scaling large models.</li><li>Contributions to AI research communities or participation in AI challenges and open-source projects.</li><li>Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn</li><li>GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety and governance</li></ul>#LI-RemoteCompensation will vary based on geographical location (see below) within the United States. Individual pay is determined by the candidate's location of residence and multiple factors, including job-related skills, experience, and education.For more information on our benefits click <a rel="noopener noreferrer" target="_blank" href="https://www.calix.com/about-calix/careers.html#benefits">here</a>.There are different ranges applied to specific locations. The average base pay range (or OTE range for sales) in the U.S. for the position is listed below.San Francisco Bay Area Only:133,400.00 - 226,600.00 USD AnnualAll Other Locations:116,000.00 - 197,000.00 USD Annual

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Alphasense

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AlphaSense is seeking to build its India Talent Community. The company is looking for team players who are humble, hungry, and smart, and who can put their egos aside to prioritize the needs of the team. The ideal candidates should be highly motivated, driven to succeed, and always looking for ways to improve, and should have excellent communication skills and a collaborative spirit. The company offers opportunities for personal and professional growth, and celebrates hard work and dedication. AlphaSense is committed to fostering a work culture that encourages these qualities and values the contributions of team players. They are looking for people who want to create the next thing. AlphaSense is an equal-opportunity employer.

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<h2>About AlphaSense:&nbsp;</h2> The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 4,000 enterprise customers, including a majority of the S&amp;P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!</div><div><iframe src="https://www.youtube.com/embed/jGvdN_T6d60" width="560" height="314"></iframe> In India, we have our teams based in Pune, Mumbai, Delhi and, Bangalore. We pride ourselves on being client-focused and collaborative, on the pioneering edge of technology. We also have fun. Whether it’s office happy hours, team outings, or game nights, we believe in working with people we like to hang out with. Ideal candidate traits If you identify as a team player and you are humble, hungry, and smart — we would love to get to know you. We believe these qualities to be vital to building a strong, productive, and collaborative work environment, where everyone is committed to achieving common goals and working towards shared success. We are looking for people who are willing to learn from others, who can put their egos aside and prioritise the needs of the team. You should also be highly motivated, driven to succeed, and always looking for ways to improve. We value emotional intelligence, excellent communication skills, and a collaborative spirit that enables them to build strong relationships with teammates and work effectively towards shared goals. At AlphaSense we are committed to fostering a work culture that encourages these qualities and values the contributions of team players who exhibit them. We seek to match the ambition of ideal team players by offering opportunities for personal and professional growth, providing the resources and support necessary to achieve their goals, and creating an environment where hard work, dedication, and teamwork are celebrated and rewarded. At AlphaSense we are building teams of ideal players who embody the core values of Sisu, driving the company’s success and helping us to create a positive impact on the world. Technologies that we work with: Frontend ReactJS, TypeScript, Micro Frontends Applications NodeJS, TypeScript, GraphQL, Java 17, Spring Boot, Python, FastAPI Backend Java 17, Spring Boot, Python, FastAPI, Kafka Search and AI Apache Solr, Elasticsearch, Vector Search, ML, LLM, Pytorch, Tensorflow Cloud architecture AWS, GCP, Kubernetes, Crossplane, Argo CD Quality &amp; reliability Cypress, Selenium, Selenide, Playwright, Rest Assured, K6, Prometheus, Loki, Grafana &nbsp; Ready to Make an Impact? Join our talent community, hear about exciting career opportunities, and get tailored job recommendations based on your interests. If you’re looking for a challenge, if you love finding things that need interesting solutions, AlphaSense is a great place to come. It is a place for builders, for people who want to create the next thing. &nbsp; Want to hear more? Contact us and let’s figure out together if we can find a common path. Tell us about yourself and your background in your own words.</div><div>AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: <ul> <li style="font-size: 12pt;">AlphaSense never asks candidates to pay for job applications, equipment, or training.</li> <li style="font-size: 12pt;">All official communications will come from an @<a href="http://alpha-sense.com/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://alpha-sense.com/&amp;source=gmail&amp;ust=1740162734907000&amp;usg=AOvVaw2sfhQUZloRzVpQ4Yj1Ftlo">alpha-sense.com</a>&nbsp;email address.</li> <li style="font-size: 12pt;">If you’re unsure about a job posting or recruiter, verify it on our&nbsp;<a href="https://www.alpha-sense.com/careers/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.alpha-sense.com/careers/&amp;source=gmail&amp;ust=1740162734907000&amp;usg=AOvVaw3I0CFwb1ser7ImCRD48YOl">Careers page</a>.</li> </ul> If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.</div>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

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Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

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