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Careers at Spot
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Senior AI Software Engineer

Full Time
full time
11 Nov 2022
Remote United States
Verified by Turrior

Content + Source + Freshness • 12 Dec 2025 • 95% confidence

90 / 100

Offer value

Strong potential for innovative contributions and career growth within an evolving tech company in AI and big data.

  • Competitive compensation in a fast-growing tech sector.
  • Opportunity to work on pioneering AI solutions.
  • Significant autonomy and room for innovative input.
Pros
  • Exciting projects centered on cutting-edge AI technologies.
  • High potential for career advancement in a fast-paced startup.
  • Remote work flexibility enhances work-life balance.
Cons
  • Requires extensive experience in AI, limiting a broader candidate pool.
  • High expectations for autonomous work may not suit everyone.
  • Startup environment may entail risks associated with job security.

Who it's for

Senior • Remote

Good fit
  • Senior AI engineers with a passion for innovation.
  • Candidates looking to make a significant impact.
  • Tech-savvy professionals eager to work remotely.
Not recommended for
  • Entry-level individuals without prior AI experience.
  • Candidates who prefer a structured office environment.
  • Those not interested in rapid-paced technological innovation.

Motivation fit

Desire to innovate and make impactful AI contributions.Interest in joining a rapidly growing tech startup.Willingness to face challenges in a dynamic environment.

Key skills

AI and machine learning product development.Computer vision understanding.Familiarity with big data processing frameworks.Effective teamwork and communication.
Score: 90/100 AI verified analysis

About the job

Spot AI was formed by engineers from Stanford, Cisco Meraki, and Samsara, with the mission of visually indexing the physical world and making that data useful to everyone at work. With an easy-to-use AI camera system, Spot AI unlocks the power of video data, transforming that into Video Intelligence that helps companies improve their security, safety, efficiency, and more. In the world of Video Surveillance, security pros would access systems once in a few months to catch the bad guy. In the new world of Video Intelligence, everyone at work - including operations pros, environmental health and safety, security, and the frontline workforce - will all use video intelligence to make better decisions every day. Spot AI has been quietly building its technology and customer base since its founding in 2018 and already has hundreds of customers and thousands of users. Notably, its customers reach well beyond tech early adopters, including transportation companies Cheeseman, Mixt, and Northland Cold Storage. In 2021, Spot AI scaled bookings 10x and is continuing to grow aggressively. Backed by Redpoint, Bessemer, and Village Global, Spot AI is well-positioned to disrupt the $30b video surveillance market and lead the $100b Video Intelligence movement. The Role We are looking for a Sr. AI Software Engineer to join our AI/Workflows team with huge opportunities for growth. You will design, architect, and productize AI, big data, and computer vision solutions for Spot AI’s customers. This is an opportunity to implement novel solutions that will have a real-world impact on thousands of businesses and democratize the use of AI. We are looking for engineers who have experience in building and shipping computer vision or AI products at scale, bringing a mix of passion and creativity together with a pragmatic approach. We are looking for engineers who want to make a significant contribution and are adept at architecting distributed AI systems that can handle millions of hours of customer footage. Responsibilities: Own, develop, and release video intelligence features end-to-end Work closely with other engineers and design teams to implement and iterate on features Engage with customers and product management to validate and iterate in an autonomous environment What Excites You Working and mutually learning from an extremely high-caliber engineering team Developing video intelligence products from inception, with lots of ownership and opportunities to implement novel solutions Delivering video intelligence features in ways that are thoughtful about end-user privacy, such as on-device models and federated training Operating with autonomy in a fast-paced environment Communicating directly with customers to better understand their use cases for iterating on the future product roadmap What You'll Need 3+ years of experience building and productizing AI systems at scale Strong track record of delivering outstanding results Strong engineering fundamentals with various back-end technologies in Python  Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable Prior exposure to general cloud solutions, such as Google Cloud Platform, Kubernetes, SQL/time series databases, etc. Outstanding communication skills Ability to prioritize and synthesize engineering tasks with the first principles of thinking Ability to rapidly pick up new technologies and techniques and implement them Bachelor's degree in computer science or a related field; master's degree or higher preferred Bonus Skills Experience with computer vision or video data processing Prior experience in working on-edge ML   Our Values Create Value: (1) Work backward from the customer’s goals (2) Keep it simple (3) Be curious Make Decisions: (1) Bias towards action (2) Focus on getting it right, not on being right (3) Bet on the long term Work with Others: (1) Own your outcomes (2) Help your team (3) Communicate openly and deliberately What We Offer Long-term career growth and achievement opportunity Competitive salary + startup equity Medical, dental and vision coverage  401K with employer match 14 weeks of paid parental leave Learning and development opportunities Remote flexibility  Work from home stipend to set up a home office Unlimited PTO We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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