The Applied AI team at Balyasny Asset Management is at the forefront of transforming how investment professionals interact with artificial intelligence. We've built a comprehensive suite of AI-powered tools including custom assistants with deep research capabilities connected to hundreds of tools. Now we’re developing reasoning models for finance and evolving our platform to a true collaborative AI workspace where agents function as intelligent team members.

Role Overview

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production. 

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world.

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions. 

Key Responsibilities

• Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models
• Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities
• Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers
• Design experiments and analyze results to evaluate the effectiveness of new models and approaches
• Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications
• Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate
• Mentor junior researchers and contribute to technical direction and strategy
• Participate in the full research lifecycle from ideation and literature review through deployment and monitoring

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
• Experience developing and evaluating ML models in Python (PyTorch)
• Demonstrated ability to translate research into practical, scalable solutions
• Strong programming skills and familiarity with modern software engineering practices

Preferred Qualifications

• Experience deploying ML models in production environments with real users
• Knowledge of financial markets and investment workflows
• Experience with cloud platforms (AWS preferred)
• Familiarity with vector databases, semantic search, or information retrieval systems
• Strong communication skills and ability to work with highly sophisticated end-users

Role Overview

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production.  

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world.

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions.  

Key Responsibilities

   Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models 
   Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities 
   Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers 
   Design experiments and analyze results to evaluate the effectiveness of new models and approaches 
   Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications 
   Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate 
   Mentor junior researchers and contribute to technical direction and strategy 
   Participate in the full research lifecycle from ideation and literature review through deployment and monitoring

Minimum Qualifications

   PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field 
   Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 
   Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
   Experience developing and evaluating ML models in Python (PyTorch) 
   Demonstrated ability to translate research into practical, scalable solutions 
   Strong programming skills and familiarity with modern software engineering practices

Preferred Qualifications

   Experience deploying ML models in production environments with real users 
   Knowledge of financial markets and investment workflows 
   Experience with cloud platforms (AWS preferred) 
   Familiarity with vector databases, semantic search, or information retrieval systems 
   Strong communication skills and ability to work with highly sophisticated end-users 

C10 Labs is an AI-focused venture studio that is dedicated to identifying, funding, and scaling the next generation of AI-driven startups. With a keen eye for transformative technology, we focus on early-stage investments in AI, machine learning, deep learning, natural language processing, and other cutting-edge technologies that are reshaping industries. As we continue to grow, we are looking for talented and driven individuals to help us discover the most promising startups and founders in the AI space.

Position Overview: As a Venture Fellow/ Investor, you will play a crucial role in sourcing high-potential investment opportunities within the AI ecosystem. You will be responsible for identifying emerging startups, evaluating technology trends, building relationships with founders, and collaborating with the investment team to support the fund’s growth. You will have the opportunity to work closely with a dynamic team of investors and contribute to the development of the fund's portfolio.

Key Responsibilities:

• Identify and research early-stage AI startups and innovative technology trends across various sectors.
• Build and maintain relationships with entrepreneurs, accelerators, incubators, academic institutions, and other networks in the AI space.
• Attend AI-related events, meetups, and conferences to expand your network and stay updated on industry developments.
• Conduct initial due diligence on potential investment opportunities by evaluating the product, market potential, team dynamics, and technical aspects.
• Provide insights and recommendations based on your findings to the investment team, highlighting the most promising startups and technologies.
• Continuously track and analyze developments in the AI sector, including key innovations, trends, funding rounds, and exits.
• Act as a key point of contact for founders, offering guidance and support in their early-stage journey.
• Foster long-term relationships with founders that could lead to future investment opportunities.

Qualifications:

• Technical Knowledge: A solid understanding of AI technologies (such as machine learning, natural language processing, computer vision, etc.) and their applications in various industries.
• Network/Community Building: An interest in meeting people from various backgrounds and skillsets
• Analytical Skills: Strong ability to evaluate business opportunities, assess market potential, and conduct due diligence.
• Communication: Excellent verbal and written communication skills, with the ability to present complex technical information in an accessible way.
• Proactive & Self-motivated: Ability to work independently and take initiative in sourcing new opportunities and building relationships.

What We Offer:

• An exciting opportunity to have a front seat to some of the most innovative, early-stage, AI companies in the world
• A chance to collaborate and innovate with founders and builders 
• Exposure to real-world AI projects and applications.
• Access to broader C10 Community including exclusive events and activities  

This position will be available during the fall semester- September to December with the opportunity to extend if there is mutual interest. 

NRGCO, a C10 Labs incubated company, is building autonomous AI agents to monitor, optimize, and protect critical infrastructure—power plants, data centers, power grids, water systems, and mobility networks—against climate and operational risks. Think intelligent systems that reason, self-heal, and act in real time across the edge-cloud continuum.

We’re looking for a founding CTO to architect and lead our AI platform, bringing together multi-agent systems, real-time data pipelines, and frontier models (LLMs, graph AI, digital twins). You’ll set the technical roadmap, build and scale the core engineering team, and shape NRGCO’s product into a category-defining resilience platform.

What will you do: 

• Technology Strategy & Architecture: (i) Define and lead the technical vision and roadmap of the company’s AI platform. (ii) Architect a scalable, secure, and high-performance AI/ML infrastructure for large-scale enterprise deployment. (iii) Oversee the development of a unified data model, model-driven architecture, and reusable microservices architecture
• Platform Leadership: Architect and evolve agentic autonomy across compute, energy, and infrastructure domains using LLMs, graph AI, digital twins, and control systems.
• Systems Integration: Oversee real-time agent orchestration, sensor/actuator pipelines, workload and energy optimization.
• Reliability & Scale: Build enterprise-grade infrastructure achieving "five‑9s" reliability—breaking silos between diagnostics, mitigation, and prevention.
• Team & Culture: Grow engineering, research, and infra teams, instilling a mission-driven, agile mindset.
• Innovation & AI Thought Leadership: Evaluate emerging technologies (LLMs, multi-agent systems, edge AI, MLOps, etc.) for integration into the platform.
• Strategic Partnerships: Lead tech due diligence and collaboration with industry leaders

Who you are: 

• Proven experience of 10+ years in senior R&D/platform roles—cloud infrastructure, AI systems (LLM-level), or real-time operations, with at least 4+ years in a startup environment.
• Proven track record in architecting self-healing, distributed systems with microservices, containerization, and edge-to-cloud orchestration.
• Passion for climate tech, sustainability, and mission-critical engineering.
• Outstanding technical leadership and communication—able to inspire investors, regulators, and enterprise customers.
• Startup or founding team experience, having brought a product from 0→1
• MS/Ph.D. in Computer Science/Engineering, Operations Research, or AI.
• Experience building and leading high-caliber, globally distributed engineering teams. 

Preferred Experience

• Background at a company similar to C3.ai, GE
• Vernova, Siemens Energy, XMPRO, Snowflake, or other enterprise AI/data platforms
• Prior experience with energy, data centres, utilities, or industrial applications of AI.
• Open-source contributions or patents in AI, software engineering, or enterprise systems.
   

This will be an equity compensated role to start with salary to be determined upon closing of the first round of fundraising.

C10 Labs is an AI-focused venture studio dedicated to propelling the frontiers of artificial intelligence. Our venture studio model is extending the AI revolution beyond screens to build AI first ventures that will revolutionize healthcare, climate tech, mobility,  energy, and more. We are looking to add the best entrepreneurial and technical minds to our team to provide our proto-ventures with the resources they need to succeed: funds, go to market acceleration, mentorship, and engineering. Our team is passionately committed to building a more intelligent world, join us on our mission!

Position Overview:

We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is more than a job - it's an opportunity to shape the future of AI, molding our portfolio companies into global leaders in the AI space. This role offers a hands-on opportunity to work on challenging projects, collaborate with experienced researchers and engineers, and contribute to the development of groundbreaking AI solutions. If you value working with the brightest minds in the world in areas like climate tech and health then come join us to shape the future of humanity!

Please find out more here and apply! 

Job Title: Vice President of Engineering

Location: Remote, Anywhere in the US

Summary:  You are a strong software leader and architect with hands on development capabilities driven by bringing ideas-vision-strategy to life. In your mind, there's no task or feature that's impossible, and you always find a way to deliver on the company's technical vision.  You speak Front End, Back End, UI/UX, and everything in between. You stay in tune with AI/ML and data science advancements and are eager to lean in and learn. You are an expert level software architecture and engineer and are excited to roll up your sleeves when needed. You understand the necessity of being lean, especially in the early days, so you're always keeping an eye out for ways to keep things more cost-effective without sacrificing quality. You've got the software development lifecycle experience to help build a highly effective software engineering capability that delivers the undeniable value that we aim to provide. Lastly, the teams you manage truly enjoy working for you because you understand that leadership has nothing to do with a title. If you're ready to build a platform that will make a noticeable impact in people's lives rather than just giving lip service to "making a difference", see the details below, apply, and let’s talk! 

At Narratize, you will oversee the entire technology lifecycle, aligning the technology strategy with the business goals and vision, and helping us deliver a first in its class AI platform for innovations. Your expertise will be instrumental in driving the growth of Narratize and the future of AI-driven innovation.

In this role you will:

• Develop and implement a comprehensive software and systems architecture to support the company's goals and objectives.
• Drive innovation in the application of generative AI platforms, including NLP, industry and domain-specific models, and workflows tailored to the unique needs of our clients.
• Oversee the development and maintenance of software engineering systems to support data analysis, modeling activities, and AI development.
• Closely collaborate with organization leadership to align engineering systems, features, and capabilities to both the product and technology strategies: ensuring seamless integration of cutting-edge technology into product development and innovation processes.
• Collaborate with cross-functional teams to identify opportunities for leveraging technology to drive business value and inform decision-making.
• Engage directly in software development activities and other activities needed to implement the technology strategy and architecture.   
• Build, lead and mentor a team of software engineers over time, fostering a culture of excellence, innovation, and ownership in alignment with Narratize’s values. 
• Stay abreast of the latest trends and advancements in software engineering and building solutions on AI and gen AI platforms, identifying opportunities for applying emerging technologies to ensure our platform delivers value and remains at the forefront of innovation.
• Communicate key insights and technological advancements to stakeholders across the organization to drive date-driven decision-making.
• Ensure compliance with relevant data privacy and security regulations, implementing best practices for data governance and technology management in AI-driven content generation.

What We’re Looking For

• Significant experience ( 7+ years) in software architecture and personally building digital products from early-stage through to scaling and maturity, displaying proactive leadership and problem-solving skills. 
• Deep knowledge of full-stack modern development practices (ex: DevOps, APIs) and practical application of knowledge in product development.
• Ability to think strategically, holistically, and architecturally about how generative AI and predictive analytics can be used to drive business value, with relentless focus on the end customer and how we are solving their problems.
• Possesses strong business acumen, capable of making decisions that align with the broader business context and requirements. 
• Comfortable collaborating, debating, and committing to decisions with colleagues and leadership.
• Strong communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

What We’d Also Love to Find 

• Expertise in machine learning, statistical analysis, and data mining techniques, with hands-on experience building, training, fine-tuning, and deploying predictive models, including transformer-based LLMs.
• Proficiency in Python and experience with data manipulation and analysis libraries such as scikit-learn, PyTorch, or TensorFlow.
• Experience working with large and complex datasets, and knowledge of data management.

Requirements

• Bachelor’s Degree in a quantitative field such as computer science, engineering, or related field.
• Minimum of two years managing, mentoring, and inspiring engineering teams. 
• Previous oversight of department budget, with clear objectives, results, and aligned budget and project progress.

Benefits include: 

• Equity
• Medical, Dental, and Vision coverage offered
• Flexible schedule / remote work
• Family-friendly policies 
• Open paid time off
• Paid parental leave

‍

About Narratize: Narratize combines the power of storytelling with cutting-edge generative AI technology to ensure that no great idea is left untold. From optimizing R&D processes to scaling product launch, Narratize empowers brands with transformative ideas to unleash their full potential. 

Why Narratize: At Narratize, you will be part of a forward-thinking team at the intersection of AI and creativity. As the CTO, you will be joining a collaborative and driven leadership team, who expects strong results, and respects that we all have diverse needs and dimensions - in and out of work. We believe that as people, we are a culmination of our experiences, that because of our experiences we all have stories. They are what build into our identities--who we are, who we become, and how we make a difference.

We offer a collaborative and stimulating work environment where your ideas and expertise will be valued. Join us in revolutionizing the way innovators leverage AI to shape the future of content generation and storytelling.

If you are passionate about startups, technology, AI innovation, and pushing the boundaries of what's possible, we encourage you to apply and be a driving force behind Narratize's mission.

Our Exciting Opportunity:

Ericsson Research is looking for highly motivated and hardworking Artificial Intelligence Researchers, bringing AI & Machine Learning to mobile networks.

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark! When joining our team at Ericsson you are empowered to learn, lead and perform at your best, crafting the future of technology. This is a place where you're encouraged as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team.

Come, and be where it begins.

You will:

Be pushing technology frontiers, combining machine learning and reasoning methods, tools, and techniques to drive intelligent autonomous operations in large complex telecom systems. If you:

• Are well acquainted with the scientific method and publish your results in scientific conferences or journals.
• Wish to apply those skills to tackle real and complex problems with high societal impact.
• And aim to inspire and lead research for the future 6G, IoT and Cloud systems.

To be successful in the role you must have:

• PhD in Computer Science or any related technical field (candidates with equivalent practical work experience will be considered).
• Strong programming skills in Python, Java, or C/C++.
• Experience in applying AI and ML techniques (reinforcement learning, explainable inference, graph-based learning) on large distributed tabular datasets
• Understanding of the AI open-source communities and practical experience with some of them such as scikit-learn, TensorFlow, pytorch, pandas, Spark, ray/gym, etc.
• Ability to scope, follow and execute on a research agenda

Additional qualifications:

• Publication record in AI (including machine learning applied to wireless technologies, distributed AI multi-agent systems) or related fields
• Active participation in open-source communities related to AI
• Experience with telecom industry and standards

At Massive Dynamics, we work on a wide range of problems: consumer sales, supply chain optimization, and pharmaceutical applications. Our capabilities and frameworks have a wide spectrum of applications. We have developed advanced technology and algorithms to uncover complex patterns and relationships, which may be subtle and deeply hidden in the data. Our goal is to help large enterprises with their Big Data challenges. Our team comprises a unique blend of scientists, applied mathematicians, and industry practitioners. We are passionate about what we do and have great colleagues!

We are looking for Data Scientist who is a self-starter and eager to contribute to a team of problem solvers.

Responsibilities

• ETL and data analysis (including scalable and complex techniques)
• Prototype solutions
• Data visualization and generating actionable insights
• API knowledge and web application frameworks are a plus

Qualifications

• PhD in quantitative field
• 1 - 2 years of experience in quantitative data analytics and/or numerical modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in programming languages (Python, C, C++, R, SQL) and object-oriented programming. Deep Knowledge of Python packages is highly desired.
• Knowledge of optimization methods and optimization algorithms is a plus.
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, PowerBI)

We offer health, dental, vision benefits.

Job description

• Participate in back-end development and maintenance of related businesses, products and services;
• Understand the business requirements in depth, manufacture according to product requirements and technical requirements. Develop technical programmes, project plans and implement them according to the programmes
• Analyze and solve problems in the development process;
• Collaborate with other members of the project team to work with the project manager to accomplish relevant task objectives.

Requirements

• Undergraduate or above in computer science or related major;
• Familiar with medical imaging, DI.COM protocol with PACS or cloud service development experience preferred;
• Familiar with Web service development and experience in C++/Python;
• Familiar with Git, Docker basic command operations;
• Good document writing and development habits and patient communication skill;
• High motivation and responsibility。

Place of Workplace:
Singapore