Tech Companies Seeking Software Engineers in San Francisco
San Francisco, a city renowned for its tech industry, is attracting a significant number of AI and machine learning specialists. With over 49% of big tech engineers based in the city, San Francisco holds the largest share of all tech employees in the United States [1]. This thriving hub of innovation is home to a diverse range of companies offering exciting opportunities for AI and machine learning professionals.
One of the most prominent names in consumer tech, Apple, is actively recruiting for various AI and machine learning roles. Positions include Machine Learning Engineers for their Ads, Simulation, and Special Projects teams, as well as roles focusing on machine learning infrastructure, model optimization, and robustness [2].
In the enterprise software sector, Atlassian offers positions such as Senior Engineer in Machine Learning, working on product lines like Jira Service Management. The role involves building assistive AI to automate IT operations and enhance problem-solving for engineers [3].
The financial industry is also capitalizing on AI, with companies like SoFi and Chime hiring software engineers to build and optimize crypto products and fintech solutions, respectively [4][5]. Legal AI startup, Harvey, is also seeking software engineers for its platform team, focusing on designing scalable core systems underpinning their AI product [6].
Virtual reality company Roblox is hiring over a hundred positions for its development team, including a senior software engineer, while academia.edu, based in San Francisco's Financial District, is hiring full stack software engineers for an evergreen basis, requiring candidates with experience in scaling web applications with increasing user bases [7][8].
Notion, an in-person company, is hiring software engineers to collaborate with other product teams, build and maintain features of the platform, and help improve the development process. They require employees to come to the office the bulk of the week with two guaranteed "anchor days" [9].
IoT company Motive is looking for software engineers with expertise in areas ranging from Android and iOS development to machine learning, while healthtech startup Mochi Health, based in San Francisco's SOMA district, is hiring engineers for its GLP-1 medications for weight loss [10][11].
Fintech company Cedar is simplifying patient payments and enhancing digital engagement, and they are hiring engineers specializing in artificial intelligence and machine learning [12]. Assembled, headquartered in San Francisco's Mission District, is hiring across three engineering organizations, with a focus on growing its Assist AI team [13].
Thumbtack, headquartered in San Francisco's Theater District, is hiring for its machine learning infrastructure team to solve technical challenges like spam detection, pricing optimization, recommendation, search engine optimization and ranking [14].
Cloud monitoring and security solutions provider Datadog is hiring software engineers to tackle complex technical challenges, while Airwallex, expanding its San Francisco office in the Financial District, is hiring engineers to build AI-powered internal tools and scalable systems for instant onboarding [15][16].
Block's Square is part of the fintech portfolio and is hiring software engineers for various functions [17]. Opt-in purchase platform Attain consistently hires software engineers, and Freed, headquartered in San Francisco's Financial District, is hiring mid- and senior-level engineers [18][19].
In conclusion, San Francisco offers a plethora of opportunities for AI and machine learning specialists, with companies from various industries, including consumer tech, enterprise software, finance, legal AI, virtual reality, IoT, healthtech, and fintech, actively seeking talent in these areas. This vibrant city continues to be a hub for innovation and a promising destination for AI and machine learning professionals.
Technology companies in San Francisco, such as Apple, Atlassian, and Notion, are actively recruiting AI and machine learning specialists for various roles. For instance, Apple is hiring Machine Learning Engineers for its Ads, Simulation, and Special Projects teams, while Atlassian offers a Senior Engineer in Machine Learning position to work on Jira Service Management [2, 3, 9].
In the financial industry, companies like SoFi, Chime, and Square are also hiring software engineers to build and optimize crypto products, fintech solutions, and artificial intelligence systems [4, 5, 17]. These opportunities reflect the growing demand for AI and machine learning professionals in various sectors, making San Francisco an attractive destination for tech specialists.
