The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play a central part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to shape the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI.

Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. 

If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Influence roadmap and drive the evolution of engineering areas of increasing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• ​​4+ years experience designing, building and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play a central part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to shape the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI.

Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. 

If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Influence roadmap and drive the evolution of engineering areas of increasing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• ​​4+ years experience designing, building and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Software Engineer, Agentic AI Systems (New Grad)

Are you a software engineer who has honed your craft through internships, research, and/or academic projects, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale, with support from senior engineers
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Execute on projects to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Learn from and collaborate with senior engineers and machine learning engineers to build world-class AI systems

What You Bring To The Table:

• Strong programming fundamentals and experience building software through coursework, projects, internships, and/or research
• Ability to think and communicate clearly about engineering problems and systems
• Eagerness to learn, give and receive feedback, and hold yourself to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code (with guidance and iterative development)
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Internship or research experience building production-quality software
• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience with one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Software Engineer, Agentic AI Systems (New Grad)

Are you a software engineer who has honed your craft through internships, research, and/or academic projects, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale, with support from senior engineers
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Execute on projects to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Learn from and collaborate with senior engineers and machine learning engineers to build world-class AI systems

What You Bring To The Table:

• Strong programming fundamentals and experience building software through coursework, projects, internships, and/or research
• Ability to think and communicate clearly about engineering problems and systems
• Eagerness to learn, give and receive feedback, and hold yourself to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code (with guidance and iterative development)
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Internship or research experience building production-quality software
• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience with one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• 2+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

What You Bring To The Table:

• 2+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security

The Role

Are you a software engineer who has honed your craft, technical leadership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a staff software engineer on our “agent lab” Natural Language Understanding team, you will play a central role in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to lead the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Lead and take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Define, drive, and deliver frontier AI distributed systems and ensure they are productionized at scale, or use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Set technical direction, influence roadmap, and drive the evolution of engineering areas of broad scope and impact to create lasting value for all our customers
• Set a high bar for writing robust, extensible, readable, and performant code, and raise the engineering standard for the team
• Partner with senior subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to align teams and build the best enterprise AI products the world has ever seen
• Mentor and develop engineers on the team, including coaching on technical design, execution, and engineering excellence
• Collaborate deeply with machine learning engineers to define end-to-end system architecture and help build world-class AI systems

What You Bring To The Table:

• 6+ years experience designing, building, and improving production systems, ideally at scale
• Demonstrated ability to lead technical design and execution across multiple projects and stakeholders
• Ability to think and communicate clearly about complex engineering problems and systems, and to drive alignment across teams
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Strong attention to detail and a track record of shipping high-quality, production-grade systems
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Experience designing and operating large-scale, high-reliability systems with strong observability, SLOs, and on-call excellence

The Role

Are you a software engineer who has honed your craft, technical leadership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a staff software engineer on our “agent lab” Natural Language Understanding team, you will play a central role in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to lead the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Lead and take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Define, drive, and deliver frontier AI distributed systems and ensure they are productionized at scale, or use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Set technical direction, influence roadmap, and drive the evolution of engineering areas of broad scope and impact to create lasting value for all our customers
• Set a high bar for writing robust, extensible, readable, and performant code, and raise the engineering standard for the team
• Partner with senior subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to align teams and build the best enterprise AI products the world has ever seen
• Mentor and develop engineers on the team, including coaching on technical design, execution, and engineering excellence
• Collaborate deeply with machine learning engineers to define end-to-end system architecture and help build world-class AI systems

What You Bring To The Table:

• 6+ years experience designing, building, and improving production systems, ideally at scale
• Demonstrated ability to lead technical design and execution across multiple projects and stakeholders
• Ability to think and communicate clearly about complex engineering problems and systems, and to drive alignment across teams
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Strong attention to detail and a track record of shipping high-quality, production-grade systems
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

Nice To Have:

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Experience designing and operating large-scale, high-reliability systems with strong observability, SLOs, and on-call excellence

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation. 

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What You Will Do

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
• Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
• Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
• Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code

What You Bring To The Table

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
• Ability to solve problems end-to-end with machine learning
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
• Attention to detail and high standard of data quality for training and especially evaluation datasets
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Knowledge of deep learning architectures and algorithms and leading large language models
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI

Nice To Have

• Experience productionizing ML models at scale
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Working familiarity with machine learning frameworks such as PyTorch and LightGBM
• Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
• Experience iterating on prompts for large language models in a data-driven way
  
  

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation. 

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What You Will Do

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
• Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
• Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
• Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code

What You Bring To The Table

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
• Ability to solve problems end-to-end with machine learning
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
• Attention to detail and high standard of data quality for training and especially evaluation datasets
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Knowledge of deep learning architectures and algorithms and leading large language models
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI

Nice To Have

• Experience productionizing ML models at scale
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Working familiarity with machine learning frameworks such as PyTorch and LightGBM
• Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
• Experience iterating on prompts for large language models in a data-driven way