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Software Engineering Salary in San Francisco, CA

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Software Engineering Salary in San Francisco, CA

25 600 $ Average monthly salary

Average salary in the last 12 months: "Software Engineering in San Francisco"

Currency: USD Year: 2024
The bar chart shows the change in the level of average salary of the profession Software Engineering in San Francisco.

Similar vacancies rating by salary in San Francisco

Currency: USD
Among similar professions in San Francisco the highest-paid are considered to be IT Management. According to our website the average salary is 76250 usd. In the second place is Principal Software Engineer with a salary 25600 usd, and the third - Developer with a salary 22042 usd.

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Sr. Manager, Software Engineering
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Software Engineer (Machine Learning)
Next Ventures, San Francisco
I am partnered with a Series A Start-Up, who are transforming the e-commerce landscape by redefining the shopping experience and offering a platform, where customers can engage and transact directly within a conversation thread.Reporting directly to the CTO, they are hiring for a Software Engineer (Machine Learning), where you will be responsible for helping to spearhead and scale their AI products and platform. In order to achieve this, they are looking for this individual to focus on refining their conversational AI bots, enhancing the functionality of their e-commerce search and optimizing their product recommendation systems.You will play a crucial role in helping them to advance their Machine Learning capabilities across Machine Learning applications and to be hands on and have the ability to both design and implement Large Language Models.Given the small ML team, they are looking to see solid software engineering fundamentals and some expertise in a specific area e.g. model training, hosting, MLOps etc. Ideally, you will have some ML Infrastructure background , or expertise in relevant modeling areas e.g. product recommendation's.ResponsibilitiesDesign and develop their AI Marketing platform, taking full ownership from conceptualization to productionLead the entire machine learning lifecycle, including project definition and driving excellence across teams.Create highly scalable classifiers and tools utilizing machine learning, data regression, and rule-based models.Explore innovative approaches for recommender systems through experimentation.Gather and synthesize requirementsDesign and Develop an impactful feature roadmapQualificationsMinimum 2 years experienceHands on experience with designing and implementing a Large Language ModelAbility to demonstrate expeirence in building large-scale production systemsKnowledge of common ML Ops tooling/platforms