Software Engineer - AI Solutions

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.

Check below to see if you have what is needed for this opportunity, and if so, make an application asap.

What you’ll do :

• Be an expert and evangelist of the Coactive product
• BS (or higher) in Computer Science or related fields, or equivalent professional experience
• 5+ 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)

• 2+ 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 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)

• 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-$220,000

At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to :

• Market leading 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.

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