Coactive 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 a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.
Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.
This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI.
As a Software Engineer focused on AI solutions, you will be one of the founding members of the Solutions team and will be a key technical contributor bridging sales, customer success, product and engineering. Your primary goal is to ensure the success of prospects and customers by delivering AI-focused technical solutions with clear business value. You’ll collaborate closely across multiple teams, serving as the AI expert for the Go-To-Market team while becoming an expert and champion of the Coactive platform.
What you’ll do:
- Be an expert and evangelist of the Coactive product
- Be the resident AI technical expert and mentor for the Go-To-Market team
- Provide technical guidance and support to sales and customer success
- Provide feedback from the field to product and engineering
- Work closely with prospects and customers to deliver AI-focused technical solutions
- Lead and execute successful Proof-of-Value engagements for prospects and technical integrations for customers
- Maintain clear documentation and streamlined processes to facilitate efficient collaboration
- Occasional travel to customer sites and industry conferences may be required
- Shape best practices and company culture as we grow
What we look for:
- BS (or higher) in Computer Science or related fields, or equivalent professional experience
- 3+ years of production-level experience in Python and SQL
- Experience with modern AI frameworks and technologies, such as PyTorch, TensorFlow, scikit-learn, MLflow, Spark and Ray
- Experience in rapid prototyping and delivery of modern AI solutions, such as leveraging open-source models, API-based services, and other collaborative cloud tools (e.g., Databricks, Colab, Sagemaker, etc)
- 5+ years of experience in customer facing technical roles is preferred (can include roles such sales engineering, solutions engineering, DS/ML consulting, etc)
- Experience in customer facing technical roles is preferred (can include roles such sales engineering, solutions engineering, DS/ML consulting, etc)
- Ability to collaborate with non-technical stakeholders to navigate towards solutions that deliver success to customers
- Ability to effectively communicate and guide technical and executive audiences, whether in demos, sales calls or in-person customer visits
- Ability to provide technical mentorship to other technical and non-technical team members, such as sales engineers, solutions engineer and/or account executives
- Previous experience in a fast-paced startup environment is a plus
- Previous experience in ML/AI focused roles is a plus (e.g. ML engineer)
- Previous experience applying ML to multimodal and/or visual data is a plus
What you can expect from us:
This is a hybrid position based in San Francisco or San Jose, California.
The estimated annual base salary for this position is between *$186,000 $212,000
At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:
- Equity grants
- 100% medical, dental, & vision coverage for you
- Medical, dental, & vision partially covered for your dependents
- Unlimited PTO
- Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.
Further, you can expect a supportive work environment from us. We build products, but we develop people.
Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.
*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.
We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Top Skills
What We Do
At Coactive AI, we are empowering data practitioners and data-driven teams to unlock insights in unstructured image and video data. This visual data increasingly captures everyday life from our online experiences on e-commerce sites and social media to guiding the cars we drive and monitoring the plants we eat. By 2021, unstructured visual data will be more than 82% of all internet traffic. We make this unstructured visual data useful by bringing it into the world of SQL and the big data tools that teams already love.
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