The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

Responsibilities:

• Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

• Apply AI and Machine Learning technology to solve complex, real-world problems

• Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

• Fulfill problem formulation and ML technique consulting requests in a timely manner

• Communicate and present analytical models to business customers and executive management

• Work collaboratively with different business partners and be able to present results in a clear and concise manner

Qualifications:

• Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field

• Experience with the complete software lifecycle

• 1+ years of experience with delivering and maintaining production software products

• Strong technical writing and oral communication skills

• Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

• Experience in productionizing generative AI to solve critical business problems

Preferred Qualifications:

• Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master’s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science

• OR bachelor’s degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

• Experience with cloud-based deployments and best practices

• Demonstrated contributions and expertise in one or more of the following AI domains:

• Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

• Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

• Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

• Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

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You'll build the data pipelines that ingest legal sources, the model stack that produces structured evidence, the evaluation frameworks that measure accuracy, and the fine-tuning loops that improve performance. The unusual constraint: you need speed, scale, correctness, and robustness simultaneously , at millisecond latency, zero downtime, heading toward billions of transactions where a single error costs a customer $20K.

Within weeks:

• Lead development of new features aimed at increasing TRAM’s test-time accuracy
• Work on the underlying data and retrieval pipelines that help power our AI workflows
• Work directly with our internal tax experts to understand how TRAM can better reason like them

Within months:

• Own TRAM’s eval framework and workflows
• Work directly with leading frontier labs to reinforce fine tune models on our proprietary data

Requirements:

• Prior experience building AI enabled products, particularly RAG systems
• Experience fine tuning base models, ideally via RFT
• Willingness to dive into tax technical problems - if you aren’t willing to dive deep on how the model should reason through the tax research process you won’t be effective
• A strong understanding of how LLMs and reasoning models function

Nice to haves:

• Experience working with LLMs on legal applications
• Experience with RAG data pipelines and collecting/curating data for the pipeline

Who you are:

• You'll thrive here if: you're a dog, early stage is in your bones, you own it end to end, you believe speed and accuracy are both possible, and being in the room is a feature, not a cost.
• This won't be a fit if: you need structure handed to you or ambiguity feels draining rather than motivating, you want to manage people more than own hard problems, you're used to 'good enough' shipping, or being in the room five days a week feels like a cost instead of a benefit.

Compensation Range: $250K - $300K

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Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving technological transformation with our customers.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.
• You'll холод involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations.
• You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback

How We Work in Applied AI

• We care about people and outputs.
• What matters is what you ship, not the time you spend on it.
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to.
• The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before.
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.

About You

• You are fluent in English.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.
• You have strong technical coding skills in Python.
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Ideally You Have:

• Contributed to open-source projects in particular in the space of LLMs.
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
• You have experience with deep learning with PyTorch

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Individually help deploy into production use cases with a considerable business impact across various industries.

• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.

• Be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• You are fluent in English.

• You hold a PhD / master in AI / data science.

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.

• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.

• You have a deep understanding of concepts and algorithms underlying machine learning and LLMs.

• You're experienced with building and deploying LLMs or NLP applications.

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python.

• You have experience with deep learning with Pytorch.

• You have experience with agents framework such as Langchain, vector DBs.

Ideally You Have:

• Contributed to open-source projects in particular in the space of LLMs.

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.

Benefits

• Competitive salary.

• Generous Equity.

• Health: Sun Life.

• Pension: Match up to 6% of your contributions.

• PTO: 25 days.

• Transportation: Allowance public transportation or Parking charges reimbursed.

• Coaching: we offer Betterup coaching on a voluntary basis.

• Sport: 145 CAD/month reimbursement for gym membership.

• Meal stipend: 480 CAD monthly allowance for meals (solution might evolve as we grow bigger).

By applying, you agree to our Applicant Privacy Policy.

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Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Individually help deploy into production use cases with a considerable business impact across various industries.

• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.

• Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

• Collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback

About You

• You are fluent in English.

• You hold a PhD / master in AI / data science.

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.

• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.

• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.

• You're experienced with building and deploying LLMs or NLP applications.

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python.

• You have experience with deep learning with Pytorch.

• You have experience with agents framework such as Langchain, vector DBs.

Benefits

• Competitive salary and bonus structure.

• Generous Equity.

• Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents).

• Pension: 401K (6% matching).

• PTO: 18 days.

• Transportation: Reimburse office parking charges, or $120/month for public transport.

• Coaching: we offer Betterup coaching on a voluntary basis.

• Sport: $120/month reimbursement for gym membership.

• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger).

• Visa sponsorship

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We're seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges.

The Applied AI team is Mistral's customer-facing technical organisation. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.

Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution.

By joining the team, you'll bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.

Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback

How We Work in Applied AI

• We care about people and outputs.
• What matters is what you ship, not the time you spend on it.
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before.
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.

About You

• You are fluent in English.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.
• You have strong technical coding skills in Python.
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Ideally you have:

• Contributed to open-source projects in particular in the space of LLMs.
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
• You have experience with deep learning with Pytorch

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases.

Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

About you

• You are fluent in English
• You hold a PhD / master in AI / data science or you’re self-made
• You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
• You have deployed or built products with large scale user based
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Benefits

• Competitive cash salary and equity
• Health Insurance
• Sport: $90 for gym membership allowance
• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)
• Transportation: $120/month for public transport or Parking charges reimbursed

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As a R&D Staff Engineer, you will research, design, and implement algorithms for 3D geometry processing and mesh generation incorporating AI/ML to increase automation and robustness.

Your expertise in AI/ML applications for 3D geometry processing, proficient software development skills, especially with Python and C/C++, and solid understanding of geometry processing, mesh generation, and numerical methods are essential.

You will collaborate closely with the meshing software development team to plan, create, and evolve simulation software capabilities.

Your strong analytical skills and ability to overcome obstacles make you a natural fit for an innovative team by pushing the boundaries of simulation technology.

You will accelerate the adoption of AI/ML technologies within simulation software, making model creation faster and more accessible.

You will enable engineers and researchers to solve complex geometric and numerical problems more efficiently.

You will improve the accuracy and performance of simulation models through advanced mesh generation techniques.

You will drive innovation in the field of computational geometry and simulation technology.

You will contribute to the development of robust, scalable software solutions used by leading companies worldwide.

You will help Synopsys maintain its leadership in high-performance simulation and design automation tools.

The base salary range for this role is $120,000-$180,000.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

Responsibilities:

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.).
• 7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

Preferred qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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We are seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution.

What you will do

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

How We Work in Applied AI

• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.

About you

• You are fluent in English
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have strong technical coding skills in Python
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Ideally you have:

• Contributed to open-source projects in particular in the space of LLMs
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
• You have experience with deep learning with Pytorch

XML job scraping automation by YubHub

We are seeking an Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. As a member of our Applied AI team, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and our technological vision.

Responsibilities

• Deploy into production use cases with a considerable business impact across various industries.
• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.
• Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations.
• Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

How We Work in Applied AI

• We care about people and outputs.
• What matters is what you ship, not the time you spend on it.
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before.
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.

About You

• You are fluent in English.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.
• You have strong technical coding skills in Python.

Ideally You Have:

• Contributed to open-source projects in particular in the space of LLMs.
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
• You have experience with deep learning with PyTorch.

XML job scraping automation by YubHub

Mistral AI is seeking a senior/staff forward-deployed machine learning engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

The applied AI engineer is an integral part of our applied AI engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprise use-cases.

Responsibilities

• Deploy into production use cases with a considerable business impact across various industries.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.

• Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations.

• Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

• Collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback.

About You

• Fluency in English.

• Hold a PhD/master in AI/data science or self-made.

• 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.

• Experience in fine-tuning LLMs, tackling advanced RAG or agentic use cases.

• Deep understanding of concepts and algorithms underlying machine learning and LLMs.

• Deep understanding of cloud infrastructure and how to deploy AI-based products.

• Deployed or built products with large-scale user bases.

• Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Benefits

• Competitive cash salary and equity.

• Health insurance.

• Sport: $90 for gym membership allowance.

• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger).

• Transportation: $120/month for public transport or parking charges reimbursed.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Machine Learning (AI Team) at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API.

Accountabilities

• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proficiency in machine learning, software engineering, and data science.

Personal attributes:

• Strong communication and teamwork skills.

Benefits

• Competitive salary range of $100,600 - $199,000 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff - Machine Learning (AI Team) at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API.

Accountabilities

• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proficiency in machine learning, software engineering, and data science.

Personal attributes:

• Strong communication and teamwork skills.

Benefits

• Competitive salary range of $100,600 - $199,000 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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