- You will lead a team of Machine Learning Engineers in developing ML solutions across marketing, engineering, product, and operations
- You will build a foundation of impactful AI assets to enable an enhanced and reliable understanding of data and systems (e.g., multimodal understanding and generation)
- You will collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, such as text generation, summarization, translation, multi-agent systems, and more
- You will deliver cutting-edge AI/ML solutions, working with leads from engineering, product, and marketing operations to craft a roadmap driven by value, built to be robust, and with secure infrastructure and measures of success
- You will analyze and fine-tune model performance through experimentation, iteration, and data-driven insights
- You will deliver and design optimal AI/ML solutions with various architectural patterns
- You will provide technical leadership and mentorship to team members, fostering a culture of innovation and continuous learning
- You will stay up to date with the latest advancements in AI, machine learning, and adjacent technologies and apply this knowledge to enhance existing models and methodologies
- You will bring a broad awareness of the landscape of ML and AI-based tools for solving common end-user problems (e.g. recommendation systems, prediction, generative AI)
- You will collaborate with product teams to integrate AI solutions or agents into real-world applications and platforms
- You have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field
- You have 10+ years of impactful experience in AI/ML-relevant fields, such as machine learning, deep learning, and large language models
- You are an expert in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants, including prompt engineering and data embedding
- You have a strong understanding of generative models, deep learning, and natural language processing techniques. Knowledgeable of multi-agent systems
- You are proficient in programming languages like Python and PySpark and have experience with machine learning frameworks or platforms like TensorFlow, PyTorch, and Databricks
- You can drive research projects from ideation to implementation, producing tangible outcomes, and you have experience deploying AI models into production environments
- You can leverage your experience, industry-leading practices, and technical leaders to meet strategic goals
- You can guide significant technical initiatives and bring process improvements to existing groups, tailoring them to the organization's areas of improvement
- You excel at solving problems and have a creative mindset to address complex AI/ML challenges
- You are a strong communicator and can effectively collaborate with technical and non-technical stakeholders
-
Machine Learning Engineer
3 weeks ago
Jesica San Francisco, United StatesAbout: · Jesica is revolutionizing the recruitment industry by transforming candidate screening & sourcing. Through comprehensive conversations, Jesica assesses candidates' career paths, skills, and aspirations to identify the most qualified individuals for the hiring manager's r ...
-
Machine Learning Engineer
3 days ago
King San Francisco, United StatesCraft: · Technology & Development Job Description: · Activision Blizzard Media is the gateway for brands to the #1 cross- platform gaming company in the western world, with hundreds of millions of players across over 190 countries. · Our legendary portfolio includes iconic mob ...
-
Machine Learning Engineer
3 days ago
Acceler8 Talent San Francisco, United StatesSenior ML Engineer Position – San Francisco (Hybrid/Flexible) · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct datas ...
-
Machine Learning Engineer
5 days ago
Stealth Startup San Francisco, United StatesWhy us · At ClarityCare AI, we are building the future of health insurance back office with AI. We're a global team based in the US. · Our first mission is to streamline prior authorizations. The process of obtaining necessary approvals for patient treatments is slow and cumberso ...
-
Manager, Machine Learning
6 days ago
Noble San Francisco, United StatesAt NobleAI, we believe that material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI uses our innovative and unique Science-Based AI technology to transform current materials development ...
-
Machine Learning Engineer
6 days ago
Probably Genetic San Francisco, United StatesAbout Probably Genetic: · Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed pa ...
-
Machine Learning Engineer
6 days ago
Bunkerhill Health San Francisco, United StatesAbout The Role · At Bunkerhill, we are laser focused on helping researchers bring their algorithms to the clinic. To that end, we have launched a new initiative: to build a foundation model for medical imaging · Today, when a researcher is interested in building an algorithm, t ...
-
Machine Learning Engineer
11 hours ago
Proprius San Francisco, United StatesMachine Learning Engineer · Location: San Francisco, CA · Sponsorship: No · Relocation: No · Industry: Machine Learning · Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Becom ...
-
Machine Learning Engineer
6 days ago
Square San Francisco, United StatesCompany Description · Founded in July 2021, TBD is one of Block's four business units, alongside Square, Cash App, and Tidal. At TBD, we believe in a decentralized future that returns ownership and control over your finances, data, and identity. Guided by this vision, TBD is bui ...
-
Machine Learning Engineer
3 days ago
Coactive AI San Francisco, United StatesCoactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often ...
-
Director, Machine Learning
1 day ago
hims & hers San Francisco, United StatesAbout the Role: · Imagine directing a world-class Machine Learning team on a path towards truly personalized medicine. This could be your reality by applying for this pivotal role · We're looking for a Director to lead our machine learning engineering team toward the forefront o ...
-
Machine Learning Engineer
3 days ago
Tempo LLC San Francisco, United StatesAt SmartSpot, you'll be responsible for improving our pipeline for processing 3D data of human exercise and for deepening our engines for workout recommendations, difficulty scaling, and personalization. We're looking for a creative problem solver who has broad knowledge of a var ...
-
Machine Learning Engineer
4 weeks ago
Unreal Gigs San Francisco, United StatesJob Description · Job DescriptionCompany Overview: Welcome to the forefront of machine learning innovation At our company, we're dedicated to harnessing the power of artificial intelligence to drive real-world impact. Our mission is to develop cutting-edge machine learning soluti ...
-
Manager, Machine Learning
1 hour ago
Noble Corporation San Francisco, United StatesAt NobleAI, we believe that material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI uses our innovative and unique Science-Based AI technology to transform current materials development ...
-
Machine Learning Engineer
6 days ago
Hayden AI San Francisco, United StatesAbout Us · At Hayden AI, we are on a mission to harness the power of artificial intelligence and machine learning to transform the way governments and businesses address real-world challenges. · From optimizing bus lane and bus stop enforcement to pioneering digital twin modeli ...
-
Machine Learning Engineer
2 days ago
Haystack News San Francisco, United StatesJob Description · Job DescriptionHaystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the ...
-
Director of Machine Learning
1 week ago
Alldus International Consulting Ltd San Francisco, United StatesOur client are a dynamic fintech startup revolutionizing their industry with innovative LLM-powered SaaS solutions. They are hiring a Director of Machine Learning to lead their machine learning initiatives and drive the development of high-performance enterprise solutions that le ...
-
Machine Learning Engineer
22 hours ago
Haystack News San Francisco, United StatesJob Description · Job Description · Haystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in ...
-
Machine Learning Engineer
3 days ago
Saxon Global San Francisco, United StatesJob Description: · Is this a remote position? If not, what US Bank locations can a resource work and how many days a week will they be required to work onsite? · 1. remote position: hybrid or remote · 2. US Bank locations: PD-CA Cupertino De Anza / PD-CA-SF - San Francisco Of ...
-
Machine Learning Engineer
6 days ago
Sapling San Francisco, United States[Full Time] Machine Learning Engineer at (United States) | BEAMSTART Jobs · Machine Learning Engineer · United States · Date Posted · 13 Dec, 2022 · Work Location · San Francisco, United States · Salary Offered · $150000 — $200000 yearly · Job Type · Full Time · Experience Req ...
Head of Machine Learning - San Francisco, United States - Nextdoor
Description
#TeamNextdoorNextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby - neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries.
At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.
Meet Your Future Neighbors
As the Head of Machine Learning, you will deliver on a portfolio of AI/ML solutions that curate, predict, and synthesize information to aid in product and feature development across the business needs and portfolio of Nextdoor products using multi-modal Generative and predictive methods and related techniques.
The Impact You'll Make
We seek a senior leader to drive an AI/ML portfolio at the intersection of Generative AI (e.g., Multi-modal AI, Large Language Models, etc..), NLP, and knowledge graph. These AI assets will support the automation of processes, improve decision-making, and deliver more personalized experiences to users of our solutions and Nextdoor customers.
Your responsibilities will include:
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $245,000 to $438,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.
