About the Role This role is for a hands on ML Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM based conversational experiences at a massive scale. You will work closely with backend, platform, and catalog enrichment teams to deliver high quality ML components under tight performance and latency constraints. Key Responsibilities Build and improve search ranking, retrieval, and query understanding models. Develop ML components for Conversational Search: Multi turn context handling Query intent detection and classification Retrieval augmented generation (RAG) pipelines Reasoning workflows (ReAct, static + dynamic agent flows) Design and optimize embedding models, vector stores, and similarity search systems. Build personalized ranking and recommendation models using deep learning. Work on large scale ML systems optimized for: Low latency High throughput Cost efficient inference Implement ML pipeline best practices (versioning, monitoring, A/B testing, observability). Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents. Develop caching strategies (prompt cache, vector cache, similarity caching) to hit strict SLA targets. Contribute to long term roadmap: foundational retrieval models, multi objective optimization, and user lifecycle modeling. Required Qualifications 4-10 years of experience in Machine Learning / Applied ML engineering. Strong foundations in ML, deep learning, Transformers, and neural retrieval. Hands on experience with: Search systems (retrieval + ranking) Recommendation models Embedding models & vector databases TensorFlow / PyTorch Proven experience building production grade ML systems at scale. Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows. Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.). Ability to work closely with backend teams to deploy models in distributed systems. Excellent problem solving skills and comfort working on ambiguous, high impact problems. Preferred Qualifications Experience with conversational AI, chat based retrieval, or multi turn dialog modeling. Experience in media, streaming, sports data, or large catalog discovery. Knowledge of micro drama, short video personalization, or multi objective recommendation systems. Strong understanding of scalability patterns: batching, async orchestration, and caching layers. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better. Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind the scenes) updates on our Instagram channels -
02/12/2026
Full time
About the Role This role is for a hands on ML Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM based conversational experiences at a massive scale. You will work closely with backend, platform, and catalog enrichment teams to deliver high quality ML components under tight performance and latency constraints. Key Responsibilities Build and improve search ranking, retrieval, and query understanding models. Develop ML components for Conversational Search: Multi turn context handling Query intent detection and classification Retrieval augmented generation (RAG) pipelines Reasoning workflows (ReAct, static + dynamic agent flows) Design and optimize embedding models, vector stores, and similarity search systems. Build personalized ranking and recommendation models using deep learning. Work on large scale ML systems optimized for: Low latency High throughput Cost efficient inference Implement ML pipeline best practices (versioning, monitoring, A/B testing, observability). Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents. Develop caching strategies (prompt cache, vector cache, similarity caching) to hit strict SLA targets. Contribute to long term roadmap: foundational retrieval models, multi objective optimization, and user lifecycle modeling. Required Qualifications 4-10 years of experience in Machine Learning / Applied ML engineering. Strong foundations in ML, deep learning, Transformers, and neural retrieval. Hands on experience with: Search systems (retrieval + ranking) Recommendation models Embedding models & vector databases TensorFlow / PyTorch Proven experience building production grade ML systems at scale. Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows. Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.). Ability to work closely with backend teams to deploy models in distributed systems. Excellent problem solving skills and comfort working on ambiguous, high impact problems. Preferred Qualifications Experience with conversational AI, chat based retrieval, or multi turn dialog modeling. Experience in media, streaming, sports data, or large catalog discovery. Knowledge of micro drama, short video personalization, or multi objective recommendation systems. Strong understanding of scalability patterns: batching, async orchestration, and caching layers. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better. Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind the scenes) updates on our Instagram channels -
About the Role This role is for a hands on ML Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM based conversational experiences at a massive scale. You will work closely with backend, platform, and catalog enrichment teams to deliver high quality ML components under tight performance and latency constraints. Key Responsibilities Build and improve search ranking, retrieval, and query understanding models. Develop ML components for Conversational Search: Multi turn context handling Query intent detection and classification Retrieval augmented generation (RAG) pipelines Reasoning workflows (ReAct, static + dynamic agent flows) Design and optimize embedding models, vector stores, and similarity search systems. Build personalized ranking and recommendation models using deep learning. Work on large scale ML systems optimized for: Low latency High throughput Cost efficient inference Implement ML pipeline best practices (versioning, monitoring, A/B testing, observability). Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents. Develop caching strategies (prompt cache, vector cache, similarity caching) to hit strict SLA targets. Contribute to long term roadmap: foundational retrieval models, multi objective optimization, and user lifecycle modeling. Required Qualifications 4-10 years of experience in Machine Learning / Applied ML engineering. Strong foundations in ML, deep learning, Transformers, and neural retrieval. Hands on experience with: Search systems (retrieval + ranking) Recommendation models Embedding models & vector databases TensorFlow / PyTorch Proven experience building production grade ML systems at scale. Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows. Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.). Ability to work closely with backend teams to deploy models in distributed systems. Excellent problem solving skills and comfort working on ambiguous, high impact problems. Preferred Qualifications Experience with conversational AI, chat based retrieval, or multi turn dialog modeling. Experience in media, streaming, sports data, or large catalog discovery. Knowledge of micro drama, short video personalization, or multi objective recommendation systems. Strong understanding of scalability patterns: batching, async orchestration, and caching layers. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better. Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind the scenes) updates on our Instagram channels -
02/12/2026
Full time
About the Role This role is for a hands on ML Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM based conversational experiences at a massive scale. You will work closely with backend, platform, and catalog enrichment teams to deliver high quality ML components under tight performance and latency constraints. Key Responsibilities Build and improve search ranking, retrieval, and query understanding models. Develop ML components for Conversational Search: Multi turn context handling Query intent detection and classification Retrieval augmented generation (RAG) pipelines Reasoning workflows (ReAct, static + dynamic agent flows) Design and optimize embedding models, vector stores, and similarity search systems. Build personalized ranking and recommendation models using deep learning. Work on large scale ML systems optimized for: Low latency High throughput Cost efficient inference Implement ML pipeline best practices (versioning, monitoring, A/B testing, observability). Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents. Develop caching strategies (prompt cache, vector cache, similarity caching) to hit strict SLA targets. Contribute to long term roadmap: foundational retrieval models, multi objective optimization, and user lifecycle modeling. Required Qualifications 4-10 years of experience in Machine Learning / Applied ML engineering. Strong foundations in ML, deep learning, Transformers, and neural retrieval. Hands on experience with: Search systems (retrieval + ranking) Recommendation models Embedding models & vector databases TensorFlow / PyTorch Proven experience building production grade ML systems at scale. Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows. Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.). Ability to work closely with backend teams to deploy models in distributed systems. Excellent problem solving skills and comfort working on ambiguous, high impact problems. Preferred Qualifications Experience with conversational AI, chat based retrieval, or multi turn dialog modeling. Experience in media, streaming, sports data, or large catalog discovery. Knowledge of micro drama, short video personalization, or multi objective recommendation systems. Strong understanding of scalability patterns: batching, async orchestration, and caching layers. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better. Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind the scenes) updates on our Instagram channels -
A leading technology company in the United States is seeking a Sr. FullStack (JS) Engineer who excels in developing software products and solving complex technical challenges. The ideal candidate has over 4 years of experience, strong communication skills, and a high proficiency in React and TypeScript. This position offers a 100% remote work environment with flexible timings and competitive compensation.
02/12/2026
Full time
A leading technology company in the United States is seeking a Sr. FullStack (JS) Engineer who excels in developing software products and solving complex technical challenges. The ideal candidate has over 4 years of experience, strong communication skills, and a high proficiency in React and TypeScript. This position offers a 100% remote work environment with flexible timings and competitive compensation.
A leading technology company in the United States is seeking a Sr. FullStack (JS) Engineer who excels in developing software products and solving complex technical challenges. The ideal candidate has over 4 years of experience, strong communication skills, and a high proficiency in React and TypeScript. This position offers a 100% remote work environment with flexible timings and competitive compensation.
02/12/2026
Full time
A leading technology company in the United States is seeking a Sr. FullStack (JS) Engineer who excels in developing software products and solving complex technical challenges. The ideal candidate has over 4 years of experience, strong communication skills, and a high proficiency in React and TypeScript. This position offers a 100% remote work environment with flexible timings and competitive compensation.
We're seeking a highly skilled, execution-focused Data Scientist with 4-10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains - with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment. Responsibilities Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition). Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery. Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation. Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism. Integrate and synchronize background scores seamlessly with generated video content. Work towards achieving video quality standards comparable to Veo3/Sora. Ensure consistency in scenes and character generation across multiple outputs. Design and implement an automated objective evaluation frameworks to replace subjective human review - for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval. Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency. Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges. Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space. 4-10 years of experience in Data Science, with a strong focus on Generative AI. Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs). Proven expertise in developing and deploying models for audio and video generation. Demonstrated experience with natural language processing (NLP), especially for regional language adaptation. Experience with model fine-tuning and optimization techniques. Hands-on exposure to ML deployment pipelines (FastAPI or equivalent). Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in designing and implementing automated evaluation metrics for generative content. A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus. Exceptional problem-solving skills and a proactive approach to research and experimentation. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind-the-scenes) updates on our Instagram channels -
02/12/2026
Full time
We're seeking a highly skilled, execution-focused Data Scientist with 4-10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains - with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment. Responsibilities Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition). Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery. Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation. Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism. Integrate and synchronize background scores seamlessly with generated video content. Work towards achieving video quality standards comparable to Veo3/Sora. Ensure consistency in scenes and character generation across multiple outputs. Design and implement an automated objective evaluation frameworks to replace subjective human review - for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval. Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency. Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges. Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space. 4-10 years of experience in Data Science, with a strong focus on Generative AI. Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs). Proven expertise in developing and deploying models for audio and video generation. Demonstrated experience with natural language processing (NLP), especially for regional language adaptation. Experience with model fine-tuning and optimization techniques. Hands-on exposure to ML deployment pipelines (FastAPI or equivalent). Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in designing and implementing automated evaluation metrics for generative content. A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus. Exceptional problem-solving skills and a proactive approach to research and experimentation. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind-the-scenes) updates on our Instagram channels -
We're seeking a highly skilled, execution-focused Data Scientist with 4-10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains - with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment. Responsibilities Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition). Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery. Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation. Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism. Integrate and synchronize background scores seamlessly with generated video content. Work towards achieving video quality standards comparable to Veo3/Sora. Ensure consistency in scenes and character generation across multiple outputs. Design and implement an automated objective evaluation frameworks to replace subjective human review - for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval. Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency. Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges. Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space. 4-10 years of experience in Data Science, with a strong focus on Generative AI. Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs). Proven expertise in developing and deploying models for audio and video generation. Demonstrated experience with natural language processing (NLP), especially for regional language adaptation. Experience with model fine-tuning and optimization techniques. Hands-on exposure to ML deployment pipelines (FastAPI or equivalent). Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in designing and implementing automated evaluation metrics for generative content. A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus. Exceptional problem-solving skills and a proactive approach to research and experimentation. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind-the-scenes) updates on our Instagram channels -
02/12/2026
Full time
We're seeking a highly skilled, execution-focused Data Scientist with 4-10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains - with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment. Responsibilities Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition). Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery. Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation. Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism. Integrate and synchronize background scores seamlessly with generated video content. Work towards achieving video quality standards comparable to Veo3/Sora. Ensure consistency in scenes and character generation across multiple outputs. Design and implement an automated objective evaluation frameworks to replace subjective human review - for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval. Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency. Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges. Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space. 4-10 years of experience in Data Science, with a strong focus on Generative AI. Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs). Proven expertise in developing and deploying models for audio and video generation. Demonstrated experience with natural language processing (NLP), especially for regional language adaptation. Experience with model fine-tuning and optimization techniques. Hands-on exposure to ML deployment pipelines (FastAPI or equivalent). Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in designing and implementing automated evaluation metrics for generative content. A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus. Exceptional problem-solving skills and a proactive approach to research and experimentation. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind-the-scenes) updates on our Instagram channels -
A leading tech and design consulting firm is seeking a hands-on ML Engineer to design, train, and productionize models that enhance search relevance and conversational experiences. The role demands 4-10 years of experience in Machine Learning, proficiency in Python, and familiarity with TensorFlow and PyTorch. As a member of a high-impact team, you will work closely with various teams to deliver high-quality ML components under performance constraints. Attractive compensation and learning opportunities are offered.
02/12/2026
Full time
A leading tech and design consulting firm is seeking a hands-on ML Engineer to design, train, and productionize models that enhance search relevance and conversational experiences. The role demands 4-10 years of experience in Machine Learning, proficiency in Python, and familiarity with TensorFlow and PyTorch. As a member of a high-impact team, you will work closely with various teams to deliver high-quality ML components under performance constraints. Attractive compensation and learning opportunities are offered.
A leading tech and design consulting firm is seeking a hands-on ML Engineer to design, train, and productionize models that enhance search relevance and conversational experiences. The role demands 4-10 years of experience in Machine Learning, proficiency in Python, and familiarity with TensorFlow and PyTorch. As a member of a high-impact team, you will work closely with various teams to deliver high-quality ML components under performance constraints. Attractive compensation and learning opportunities are offered.
02/12/2026
Full time
A leading tech and design consulting firm is seeking a hands-on ML Engineer to design, train, and productionize models that enhance search relevance and conversational experiences. The role demands 4-10 years of experience in Machine Learning, proficiency in Python, and familiarity with TensorFlow and PyTorch. As a member of a high-impact team, you will work closely with various teams to deliver high-quality ML components under performance constraints. Attractive compensation and learning opportunities are offered.
We are looking for a Sr. FullStack (JS) Engineer with a keen eye for design and great UX sensibilities. You will be responsible for the development of new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. qualification- BS/B.tech in Computer Science (or related field), 4+ years of relevant work experience. you'll be responsible for- Writing clean, high-quality, high-performance and maintainable code. Solving complex technical problems. Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code. Coordinating cross-functionally to ensure that projects meet business objectives and compliance standards. Participating in and driving code reviews. you need- Excellent attention to detail. Outstanding written and verbal communication skills. Demonstrated expertise building production-grade and high-performance applications using ES2019/ES2020. Proven expertise at converting Figma, Sketch prototypes into pixel-perfect screens. A high proficiency in React, Redux and TypeScript / ReasonML. To be a self-starter who can work well with minimal-to-no guidance in a fluid environment. To be excited by challenges surrounding the development of highly scalable and distributed systems. The agility and ability to adapt quickly to changing requirements and scope and priorities. Experience working on massively large scale systems in production environments. bonus points for- Production-level experience of designing a product for multiple international markets and languages (i18n, l10n). Prior experience in Go & Python. Open-source contributions, side-projects, blog posts and YT tech videos. what you get- 100% remote team: Work from anywhere you please. Flexible timings: Set your own hours, and create a productive schedule that works for you. Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us - Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. We are Proximity - a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product and design teams. Here's a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity's values and meet some of our Proxonauts here. Explore our website, blog, and the design wing - Studio Proximity. Get behind-the-scenes with us on Instagram!
02/12/2026
Full time
We are looking for a Sr. FullStack (JS) Engineer with a keen eye for design and great UX sensibilities. You will be responsible for the development of new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. qualification- BS/B.tech in Computer Science (or related field), 4+ years of relevant work experience. you'll be responsible for- Writing clean, high-quality, high-performance and maintainable code. Solving complex technical problems. Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code. Coordinating cross-functionally to ensure that projects meet business objectives and compliance standards. Participating in and driving code reviews. you need- Excellent attention to detail. Outstanding written and verbal communication skills. Demonstrated expertise building production-grade and high-performance applications using ES2019/ES2020. Proven expertise at converting Figma, Sketch prototypes into pixel-perfect screens. A high proficiency in React, Redux and TypeScript / ReasonML. To be a self-starter who can work well with minimal-to-no guidance in a fluid environment. To be excited by challenges surrounding the development of highly scalable and distributed systems. The agility and ability to adapt quickly to changing requirements and scope and priorities. Experience working on massively large scale systems in production environments. bonus points for- Production-level experience of designing a product for multiple international markets and languages (i18n, l10n). Prior experience in Go & Python. Open-source contributions, side-projects, blog posts and YT tech videos. what you get- 100% remote team: Work from anywhere you please. Flexible timings: Set your own hours, and create a productive schedule that works for you. Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us - Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. We are Proximity - a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product and design teams. Here's a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity's values and meet some of our Proxonauts here. Explore our website, blog, and the design wing - Studio Proximity. Get behind-the-scenes with us on Instagram!
We are looking for a Sr. FullStack (JS) Engineer with a keen eye for design and great UX sensibilities. You will be responsible for the development of new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. qualification- BS/B.tech in Computer Science (or related field), 4+ years of relevant work experience. you'll be responsible for- Writing clean, high-quality, high-performance and maintainable code. Solving complex technical problems. Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code. Coordinating cross-functionally to ensure that projects meet business objectives and compliance standards. Participating in and driving code reviews. you need- Excellent attention to detail. Outstanding written and verbal communication skills. Demonstrated expertise building production-grade and high-performance applications using ES2019/ES2020. Proven expertise at converting Figma, Sketch prototypes into pixel-perfect screens. A high proficiency in React, Redux and TypeScript / ReasonML. To be a self-starter who can work well with minimal-to-no guidance in a fluid environment. To be excited by challenges surrounding the development of highly scalable and distributed systems. The agility and ability to adapt quickly to changing requirements and scope and priorities. Experience working on massively large scale systems in production environments. bonus points for- Production-level experience of designing a product for multiple international markets and languages (i18n, l10n). Prior experience in Go & Python. Open-source contributions, side-projects, blog posts and YT tech videos. what you get- 100% remote team: Work from anywhere you please. Flexible timings: Set your own hours, and create a productive schedule that works for you. Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us - Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. We are Proximity - a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product and design teams. Here's a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity's values and meet some of our Proxonauts here. Explore our website, blog, and the design wing - Studio Proximity. Get behind-the-scenes with us on Instagram!
02/12/2026
Full time
We are looking for a Sr. FullStack (JS) Engineer with a keen eye for design and great UX sensibilities. You will be responsible for the development of new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. qualification- BS/B.tech in Computer Science (or related field), 4+ years of relevant work experience. you'll be responsible for- Writing clean, high-quality, high-performance and maintainable code. Solving complex technical problems. Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code. Coordinating cross-functionally to ensure that projects meet business objectives and compliance standards. Participating in and driving code reviews. you need- Excellent attention to detail. Outstanding written and verbal communication skills. Demonstrated expertise building production-grade and high-performance applications using ES2019/ES2020. Proven expertise at converting Figma, Sketch prototypes into pixel-perfect screens. A high proficiency in React, Redux and TypeScript / ReasonML. To be a self-starter who can work well with minimal-to-no guidance in a fluid environment. To be excited by challenges surrounding the development of highly scalable and distributed systems. The agility and ability to adapt quickly to changing requirements and scope and priorities. Experience working on massively large scale systems in production environments. bonus points for- Production-level experience of designing a product for multiple international markets and languages (i18n, l10n). Prior experience in Go & Python. Open-source contributions, side-projects, blog posts and YT tech videos. what you get- 100% remote team: Work from anywhere you please. Flexible timings: Set your own hours, and create a productive schedule that works for you. Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us - Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. We are Proximity - a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product and design teams. Here's a quick guide to getting to know us better: Watch our CEO, Hardik Jagda, tell you all about Proximity. Read about Proximity's values and meet some of our Proxonauts here. Explore our website, blog, and the design wing - Studio Proximity. Get behind-the-scenes with us on Instagram!