Software Engineer - Machine Learning

About The Company

Ema is pioneering the development of next-generation artificial intelligence technology aimed at transforming the enterprise workspace. Our innovative solutions empower every employee to unlock their full creative and productive potential by automating repetitive tasks through our proprietary AI platform. Founded by a team of ex-Google, Coinbase, and Okta executives, Ema has quickly established itself as a leader in AI-driven enterprise solutions. Our successful funding rounds include investments from renowned firms such as Accel Partners, Naspers, and Section32, alongside prominent Silicon Valley angels like Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, David Baszucki, and Gokul Rajaram. Our team comprises top-tier engineers from leading tech companies including Google, Microsoft Research, Facebook, Square, and Coinbase, all educated at prestigious institutions such as Stanford, MIT, UC Berkeley, CMU, and the Indian Institute of Technology. With operations based in Silicon Valley and Bangalore, India, Ema offers a hybrid work environment requiring employees to work from the office three days a week, fostering collaboration and innovation.

About The Role

We are seeking an innovative and passionate Machine Learning Engineer to join our dynamic team. The ideal candidate will have a deep love for solving complex problems and a strong enthusiasm for working with large datasets. You will be instrumental in transforming theoretical machine learning concepts into practical, scalable solutions that drive the company’s AI capabilities forward. The role requires a collaborative spirit, capable of working effectively within a team, as well as the ability to operate independently where your ideas can have a meaningful impact. Your expertise will be focused on leveraging machine learning techniques, particularly within Natural Language Processing, Information Retrieval, and related areas, to push the boundaries of what our AI systems can achieve. This is a unique opportunity to contribute to a high-growth startup with a mission to create lasting technological impact.

Responsibilities

• Design, develop, and deploy advanced machine learning models that form the core of our NLP, retrieval, ranking, reasoning, dialog, and code-generation systems.
• Implement cutting-edge machine learning algorithms, including Transformer-based models, reinforcement learning, ensemble methods, and agent-based systems, to enhance system performance continually.
• Lead the processing and analysis of large, complex datasets—structured, semi-structured, and unstructured—to extract insights that inform model development.
• Manage the entire lifecycle of machine learning projects, from problem definition and data exploration to feature engineering, model training, validation, and deployment.
• Conduct A/B testing and apply statistical validation techniques to assess and improve the effectiveness of models in real-world scenarios.
• Develop automated testing and validation pipelines to ensure the robustness and integrity of ML solutions.
• Communicate technical concepts and the benefits of ML models effectively to both technical and non-technical stakeholders, fostering understanding and adoption across teams.

Qualifications

• A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative discipline.

Required Skills

• Proven experience in building and deploying production-quality machine learning models within industry settings.
• Strong expertise in NLP techniques, frameworks, and large language model training and inference.
• Deep understanding of retrieval, ranking, reinforcement learning, and agent-based systems, with practical experience in deploying these at scale.
• Proficiency in Python and familiarity with machine learning libraries such as TensorFlow or PyTorch.
• Experience with large-scale data processing, including SQL, ETL processes, and data warehousing.
• Knowledge of ML lifecycle management tools and best practices aligned with MLOps principles.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP) or Azure.
• Awareness of current industry and academic trends in machine learning and AI, with the ability to apply this knowledge practically.
• Strong understanding of software development principles, data structures, and algorithms.
• Excellent problem-solving skills, meticulous attention to detail, and logical thinking capabilities.
• The ability to thrive in a fast-paced startup environment, working collaboratively with cross-functional teams.

Benefits

Ema offers a competitive compensation package complemented by comprehensive health benefits, including medical, dental, and vision coverage. Employees have access to flexible work arrangements, fostering a healthy work-life balance. We provide opportunities for professional growth through continuous learning, mentorship programs, and participation in cutting-edge projects. Our collaborative environment encourages innovation, creativity, and ownership, empowering team members to make meaningful contributions. Additionally, Ema promotes a culture of diversity and inclusion, ensuring a welcoming atmosphere for all employees. As part of our team, you will have the chance to work at the forefront of AI technology, shaping the future of enterprise productivity and automation.

Equal Opportunity

Ema Unlimited is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate against any employee or applicant based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. We believe that a diverse team enhances our innovation and success, and we are dedicated to providing equal employment opportunities to all qualified individuals.

Key skills/competency

Machine Learning Engineer, Natural Language Processing, Information Retrieval, Large Datasets, Model Deployment, Python, TensorFlow, PyTorch, Cloud Platforms, MLOps