Role

As Head of AI, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with deep domain knowledge of deep learning models, end-to-end experience building models, solid engineering skills, writing bug-free machine learning code, and building the science behind the algorithms employed.

• Own the research agenda for all AI-native features

• Own training and development of new customer-facing generative AI design models

• Build proprietary generative AI models

• Work directly with our CEO and founders

• Build our engineering organization

• Meet with customers to understand their problems and design solutions to address them

• Optimize applications for speed and scale

Qualifications

• This is an IC leadership role, not a manager role. While you will hire and grow a team, you are a builder, not manager, at heart.

• 6+ years of relevant AI research or AI engineering experience.

• Experience with latest generative AI design models like DALL-E/Stable Diffusion, deep learning, and computer vision.

• Have a track record of coming up with new ideas or improving upon existing ideas in AI, demonstrated by accomplishments such as first author publications or projects.

• Love to ship great products at lightning speed.

• Programming languages: Our current stack is Python and HuggingFace, and are looking

  to scale our system and architecture to the enterprise level.

• CS degree.

Nice to haves

• PhD in CS or AI preferred.

• Early engineer at a hyper-growth startup.

• Experience at world class AI / engineering organizations.

• Experience with running generative AI models in production environments.

• Experience building data pipelines.

• NYC or Bay Area based.

Responsibilities

• Collaborate with product managers, designers, and other stakeholders to define product requirements, scope, and milestones.
• Drive the development of key product features, such as fine-grain access control mechanisms, workflow automations, and scaling performance limitations.
• Provide technical guidance and mentorship to the team, ensuring high-quality code, architectural integrity, and scalability.
• Work closely with customers to gather feedback, understand pain points, and iterate on the product roadmap.
• Mentor and provide feedback to engineers on the team, fostering a culture of collaboration, innovation, and continuous learning.

Requirements

• Proven experience (5+ years) in software engineering, with a strong background in building and delivering complex software products.
• Previous experience (2+ years) in a leadership or managerial role, with a track record of effectively managing and growing engineering teams.
• Previous experience building ML based products or building tools for ML teams.
• Deep technical expertise in areas such as high performance computing, model deployment, and data management.
• Excellent communication and interpersonal skills, with the ability to collaborate across functions and present technical information to non-technical stakeholders.

Where you’ll have an impact

We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We’re a growing start-up building our first cohort of engineers, and you can be at the heart of this!

We are looking for an experienced Research Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You’ll be working across our research team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.

What you’ll bring to Wayve

• 5+ years of software engineering experience in an industrial research environment
• Passion to work in a team on research ideas that have real world impact
• Strong software engineering experience in Python and other relevant languages (especially C++ and CUDA)
• Ideally with direct experience working in at least one of computer vision, robotics, simulation, graphics, large language models
• Ideally with several years working on large-scale machine learning algorithms and systems
• BS, MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.

Where you’ll have an impact

We are currently looking for people with research expertise in AI applied to autonomous driving or similar robotics or decision making domain, inclusive, but not limited to the following specific areas:

• Foundation models for robotics
• Model-free and model-based reinforcement learning
• Offline reinforcement learning
• Large language models
• Planning with learned models, model predictive control and tree search
• Imitation learning, inverse reinforcement learning and causal inference
• Learned agent models: behavioral and physical models of cars, people, and other dynamic agents

You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a key member of our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including:

• How to leverage our large, rich, and diverse sources of real-world driving data
• How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc.
• Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning)
• How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation
• How to scale models efficiently across data, model size, and compute, while maintaining efficient deployment on the car

As a Principal Scientist, you’ll be expected to contribute actively to the Science leadership team, inclusive of proposing new projects, organising their work, and delivering substantial impact across Wayve.

You also have the potential to contribute to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team to achieve this.

What you’ll bring to Wayve

• Thorough knowledge of and 5+ years applied experience in AI research, computer vision, deep learning, reinforcement learning or robotics
• Ability to deliver high quality code and familiarity with deep learning frameworks (Python and Pytorch preferred)
• Experience leading a research agenda aligned with larger goals
• Industrial and / or academic experience in deep learning, software engineering, automotive or robotics
• Experience working with training data, metrics, visualisation tools, and in-depth analysis of results
  
• Ability to understand, author and critique cutting-edge research papers
• Familiarity with code-reviewing, C++, Linux, Git is a plus
• PhD in a relevant area and / or track records of delivering value through machine learning are a big plus.

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.

The impact you will have

Wayve is developing next-generation autonomous driving technology, to enable autonomous transportation services. We are partnering with two of the UK’s biggest online grocery delivery fleets to trial live operations of our self-driving technology on public roads.

As Director of Engineering you will manage the Embodied AI group within our Software Engineering organisation. You will report to the VP of Software who reports to the CEO. There are four software groups:

• Cloud Infrastructure (data and ML training infra)
• Onboard Software (the car computer system software)
• Embodied AI Products (the AI+Robotics autonomy software and data)
• Product Delivery (the experimentation and product delivery workflows)

The Embodied AI group is closest to the business within the Software organisation. You get to work directly with business leadership and industry partners, and help shape our products. It is a Product Development role working closely with a separate Research Team that provides step improvements in model performance/safety.

The role is on the critical path to the financial success of the business. You are responsible for taking promising prototype AI models and delivering an autonomous vehicle capability roadmap with production-level quality. This includes collecting, filtering and selecting the most relevant training data; and then training, tuning, debugging production models, as well as developing the Robotics software stack. The technology will need to be proved in multiple geographical areas, working with a separate Operations team.

You are expected to establish solid ML practices from the start and to attract technical leadership. You will lead two teams to start with: Robotics (established, needs to grow) and Production Model and Data (in bootstrap phase, you need to build it up).

You will set the technical direction in your area and ensure that deliverables align with company objectives. You will provide leadership and guidance to each of the Engineering Managers that work within your area. You will steer the teams and coordinate with others across Wayve. You will work with leaders across the company to ensure career growth for your teams.

This means you will:

• Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned.
• Framing autonomous driving as a problem that can be solved by data. Building a massive-scale fleet learning platform and neural network capable of learning generalised, robust driving intelligence from experience.
• Using our fleet and compute resources, demonstrate that this system can learn to adapt to different vehicles and cities.
• Partner with the senior leadership team to maintain a culture of impact, performance, and health.
• Build technical capabilities across the division and develop talented engineers as Wayve grows. Build resilient and reliable systems, teams and individuals.
• Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths and weaknesses and their own aspirations.

You will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a part of something big, and love pushing the boundaries of what’s possible.

This role will be based at our headquarters near King’s Cross in London.

What you’ll bring to Wayve

Essential

• Overall: You have already delivered high-tech products that rely on complex AI models.
• Management: 2+ years of leading teams of 50+ engineers at large companies or 25+ at startups.
• Execution skills: resource allocation, program planning and execution.
• Domain skills: experience training models used in production.
• Engineering skills: code development practices, testing, serviceability.
• Product delivery skills: roadmap articulation, interface with leadership & business functions.
• Education: BS or MS in Computer Science, Engineering, or similar experience.

Desirable

• Experience with successful transfer from Research to Product.
• Industry experience in Robotics.
• Industry experience with Computer Vision with real-world product impact.
• Experience with cloud platforms, databases, large scale data pipelines.

This is our ideal candidate, but by no means the only candidate; we all have different strengths. If you don’t match 100% but believe you could do the job well, we would love to hear from you.

Our offer

• Competitive compensation and significant upside potential as a well funded series B startup.
• Immersion in a team of world-class researchers, engineers and entrepreneurs.
• Opportunity to shape the future of autonomous driving, a real world breakthrough technology.
• On-site chef and bar, fun socials, workplace nursery scheme, comprehensive private health insurance.
• Help relocating/travelling to London, with visa sponsorship.
• Flexible working hours - we trust you to do your job well, at times that suit you and your team.
  
  

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.

Where you will have an impact

We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We’re a growing start-up, building our first cohort of engineers and you can be at the heart of this!

We are looking for Machine Learning Engineers to help productionize an end-to-end self driving neural network for autonomous driving. You’ll be working closely with Platform and Research teams to integrate, test and scale ML features for production. Productionizing and scaling our ML models by working across Data, Validation, Platform and Research is a core component of this role and why we need you!

WHAT YOU'LL BRING TO WAYVE

• 3 + years experience in shipping Computer Vision features and in applied research
• Passion to take research ideas to production
• Good grasp of Computer Vision literature
• Experience in working in platform teams and working with research teams
• Good insight into the training, validation, testing and metrics for deep learning features/models
• Experience in reporting and tracking over time benchmarked performance in an open and accessible way
• Ability to write high quality, well-structured and tested Python code
• Solid experience working with concurrent, parallel and distributed computing
• Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data
• Knowledge of computing fundamentals - what makes code fast, secure and reliable
• BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

What we offer you

• Competitive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A position to shape the future of autonomous driving and to tackle the biggest challenges of our time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
• This is a full-time role based in our office in King’s Cross, but we support flexible working, including working for up to 2 weeks from anywhere in the world. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built.

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.

How You’ll Contribute:

As a Machine Learning Engineering Manager, you will work with the VP, Engineering and ML Product Manager to build and lead a team that elevates our state-of-the-art Deep Learning text-to-speech, content moderation and related machine learning models. Your primary responsibility will be to lead a team of engineers and data scientists in the development and deployment of machine learning models and systems that help us achieve our strategic goals.

In your day-today, you'll work on:

• Leading the Machine Learning Team: You will be responsible for leading a team of ML Platform engineers, data engineers and data scientists, setting goals, providing career guidance, preparing performance reviews, managing their day-to-day work, and ensuring they have the necessary resources and support to complete their tasks.
• Machine learning strategy and roadmap: You will be responsible for working with the CTO and Staff-level ML Engineer and TTS Product Manager to execute the Deep Learning TTS strategy for your team, working closely with stakeholders to understand their needs and priorities and ensuring that your team is working on the right projects.
• Providing Technical expertise: Using your understanding of TTS machine learning techniques and technologies, as well as experience working with large data sets and cloud computing platforms, you will guide the team by setting direction and removing roadblocks.
• Project management: You will be responsible for managing multiple machine learning projects simultaneously, leading backlog grooming and sprint planning, and generally ensuring that deliverables are met on time and within budget.
• Collaboration: You will need to work closely with other departments within your organization, including product management, the broader engineering team, and the TTS Product Manager to ensure that your team is aligned with the broader goals of the organization.
• Communication: You will need to communicate technical concepts and progress updates to non-technical stakeholders, including executives and business leaders.
• Hiring: You will be responsible for hiring and recruiting top talent for your team, ensuring that they have the necessary skills and experience to contribute to your organization's success.

What We’re Looking For

To thrive in this role, you have a deep understanding of machine learning concepts and techniques, data science experience building clean data sets, strong technical and software development skills, excellent communication and collaboration skills, demonstrated management experience, and a strategic mindset.

Ideally, you also have some combination of the following:

• A bachelor's or master's degree in computer science, machine learning, data science, mathematics, or a related field is usually required.
• 5+ years of experience in designing and implementing machine learning models and systems.
• 2+ years of experience in managing a team of engineers and/or data scientists where you set goals, provided performance feedback, and mentored the team toward career growth.
• You have excellent communication and collaboration skills to work effectively with cross-functional teams, including data engineers, product managers, and other stakeholders.
• You have a strategic mindset and be able to identify opportunities to leverage machine learning to help achieve business objectives. You are able to develop and implement a machine learning strategy that aligns with the overall business strategy.
• You have experience working with large data sets, and data visualization. You are familiar with databases and data storage systems such as GCS or S3, and content management systems such as Hygraph.
• You are proficient in software development practices, including version control systems, testing frameworks, and code review processes and are passionate about writing clean, defensible code.
• You have a deep understanding of machine learning concepts and techniques and you are proficient in Python. You should have experience working with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

To join our team you must also:

• be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check
  

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $180,000 - $210,000 and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• A technical screen, either as a live interview via Karat or as a take-home assessment
• An Interview loop with 3-4 interviews (1 hour each) with the team members you will be potentially working with

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

WellSaid Labs is honored to be an equal opportunity workplace. We realize that by bringing together teams rich in diverse thoughts and experiences, our people, company, and customers are free to flourish. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws.

About Us

Wizard is revolutionizing what it means to shop for your kids. With the combination of cutting edge technology and human wisdom, we are building a highly personalized, convenient way to get the things parent’s need to keep up their kids' ever changing needs. With Wizard, a parent can text their shopping list and Wizard will curate the best match for that parent.

The Role

Wizard is hiring ML Engineers, preferably with a background in NLP, to work on all aspects of dialog systems, from fine-tuning LLMs to serving models and building data pipelines and entity resolutions. If you don’t have an NLP background but have deep experience with Python and some exposure to ML and you are excited about the space and willing to learn, we would still encourage you to apply.

Key Responsibilities:

• Build and maintain a training pipeline for fine-tuning open-source LLMs. Testing different LLM architectures at different sizes and quantizations is important.
• Serve and Deploy the LLM on GPUs. It is important to know different configurations ahead of time to ensure we don’t OOM at runtime.
• Formulate novel product issues to ML problems and propose and iterate on solutions quickly. We value the fast pace of development.
• Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders.
• Keep up with the fast-growing generative AI space and incorporate the latest developments into our system.

You

• MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering.
• Experience developing machine learning-driven products at scale.
• Experience solving problems using Machine Learning with PyTorch.
• Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs.
• Practical experience with large data systems, data models, and batch and streaming data pipelines.
• Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
• Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks.

The expected salary for this role is $208,000-$234,000 depending on skills and experiences.

Benefits

• Early-stage startup with massive growth potential and ability to grow as Wizard grows
• Competitive compensation packages, including equity
• Health
• Comprehensive, high-quality medical coverage
• Dental & vision insurance
• OneMedical memberships for you and dependents
• Spring health platform for mental healthcare personalized to your needs
• XP Health eyewear benefits ($180, 3x per year)
• Rightway Health Guide
• Wealth
• 401(k) Plan
• Life & Disability insurance covered by Wizard
• Work/Life
• Flexible PTO and sick time to take care of yourself and your family
• 12 paid holidays
• 16 weeks parental leave for primary and secondary caregivers
• In Office Perks
• Hybrid work environment
• Monthly team outings
• Snacks and drinks to keep you fueled throughout the day

We seek an ambitious Senior Machine Learning Engineer to join our growing Applied Science team. If you strive to solve complex problems, want to join a mission-driven company, are excited to operate in an agile and fast-paced environment, and genuinely aspire to build something innovative, then this role is for you!

🧠Here's what you'll do:

• Identify critical opportunities to help achieve Workera's vision, leveraging your Machine Learning and Artificial Intelligence toolkit
• Manage end-to-end machine learning projects - from problem framing to ideation, design, development, deployment, and monitoring in production.
• Develop our machine learning service & provide thought leadership to uplift the team and organization.
• Work on cutting-edge topics, ranging from measurement and upskilling to GenAI applications.

⚒️ Who you are:

• Product first - We are not researchers in our ivory tower. We strive to make an impact & think user first.
• Excellent communicator - We are a remote company. Communication is key to collaboration & execution.
• Experienced ML engineer (5+ years) - You build high-quality ML solutions in production systems at scale and have a broad understanding of systems and how machine learning models fit into them. You have an expert ability to work with various ML-related tools and technologies (Python, PyTorch, Keras, DVC, Airflow…).
• Startup battle-hardened - You have extensive experience deploying software in startup environments and know how to pivot with ingenuity and nimbleness.
• Passionate practitioner - We strive to learn every day, from new research to new tools and frameworks.

📐 About this role

Writer is looking for an AI Engineer to join our expanding team of AI experts.

At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineer, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. If you’re passionate about using AI to transform the enterprise, then we want to hear from you.

As an AI Engineer at Writer, you will play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software developers, you will have the opportunity to design and deploy AI solutions that drive our innovative products.

You will report to our CTO.

🦸🏻‍♀️ Your responsibilities

• Conduct cutting-edge research, design, and develop generative AI models and algorithms to solve complex problems.

• Collaborate closely with our talented data scientists and machine learning engineers to preprocess and analyze large datasets for training AI models.

• Train and fine-tune generative AI models using various techniques, including deep learning, reinforcement learning, and evolutionary algorithms.

• Evaluate and validate the performance of AI models through rigorous testing and experimentation.

• Collaborate with our skilled software developers to seamlessly integrate AI models into production systems, ensuring scalability and efficiency.

• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.

• Document research findings, methodologies, and implementation details to share knowledge with internal and external stakeholders.

• Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.

⭐️ Is this you?

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

• 5+ years of experience in software engineering and AI/ML development

• Expertise in machine learning algorithms and techniques

• Proficiency in programming languages such as Python, PyTorch

• Knowledge of LLM and big-scale models

• Knowledge of AI protocols and standards

• Experience with AI development platforms and tools

• Strong analytical and problem-solving skills

• Ability to communicate complex ideas and concepts effectively

• Ability to work independently and collaboratively with

Curious to learn more about who we are and how we operate? Visit us here

🍩 Benefits

• We don’t spend frivolously, but we do take care of our own. Besides smart, sincere colleagues and a vibrant work environment, we are proud to offer:

• Employer-covered medical plans, dental, vision, and life insurance

• FSA

• Competitive parental leave policy (parents actually work here!)

• Generous PTO

• Company stock options

• 401k plan with employer matching

• Flexible schedules

Writer is an equal opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

📐 About this role

As a Prompt Engineer at Writer, you'll play a critical role in developing and refining the prompts and prompt chains that help our customers reduce content bottlenecks and derive maximum value from our product. You'll work closely with our Customer Success team both to determine how best to take the input data we receive from our customers and use it to produce first-rate content using our proprietary Palmyra family of models. You'll also ensure customer content aligns with their style and formatting requirements. Finally, you'll work with our AI team to help create datasets that we’ll use to fine-tune models for specific customer use cases. Your expertise in Python, dataset curation, prompt design, and linguistics will be crucial to growing and maintaining Writer’s relationships with its customers.

You'll report to our Director of Customer Language Engineering.

🦸🏻‍♀️ Your responsibilities:

• Base Prompt Design and Iteration: Create and optimize base prompts that will be used to supercharge our customers’ content creation pipelines.

• Linguistic Expertise: Utilize your understanding of linguistics to craft search patterns used to enforce customer formatting guidelines in their content.

• Prompt Chain Design: Collaborate with the team to design, develop, and evaluate prompt chains for specific content creation tasks.

• Dataset curation: Clean and prepare datasets for model fine-tuning.

• Technical scoping: Work with stakeholders in Customer Success to scope projects and define best practices for using what you create.

• Documentation: : Maintain clear and comprehensive documentation of prompt engineering processes and outcomes and share innovative techniques with the team

• Cross-functional Collaboration: Collaborate with engineering team members to integrate your prompt engineering work seamlessly into our product.

⭐️ Is this you?

• Bachelor's degree in Computer Science, Linguistics, or a related field (Master's or Ph.D. preferred).

• Solid coding proficiency using Python.

• Professional experience in prompt design and a deep understanding of linguistic principles.

• Expertise working with search patterns for morphology and word patterns.

• Proven experience in designing, developing, and evaluating base prompts.

• Knowledge of natural language processing and machine learning concepts is a plus.

• Excellent communication and collaboration skills.

• Problem-solving mindset and a passion for working on complex challenges.

• Attention to detail and the ability to work independently and as part of a team.

Curious to learn more about who we are and how we operate? Visit us here

🍩 Benefits

• We don’t spend frivolously, but we do take care of our own. Besides smart, sincere colleagues and a vibrant work environment, we are proud to offer:

• Employer-covered medical plans, dental, vision, and life insurance

• FSA

• Competitive parental leave policy (parents actually work here!)

• Generous PTO

• Company stock options

• 401k plan with employer matching

• Flexible schedules

Writer is an equal opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.