Join Eve as a Platform Engineer to design scalable infrastructure and optimize AI/ML applications in a fast-growing legal tech company.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Platform Engineer at Eve focuses on designing and implementing scalable infrastructure to support AI and machine learning applications, ensuring the reliability of core products. Key skills include expertise in cloud technologies, data pipeline management, and system performance optimization. This role is ideal for experienced engineers with a background in building infrastructure for AI/ML, who thrive in collaborative environments. Eve's rapid growth and commitment to innovative legal technology make it a dynamic place for those looking to make an impact.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Eve's career page.
- Eve has 37 other open roles including Senior Manager, Lifecycle & Retention, Renewals Manager, Director of Video Storytelling.
- 5148 active AI/ML roles on Joblaze right now.
- 95 active Data Pipelines roles on Joblaze right now.
- 13 active cloud technologies roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$188,000).
- Pays more than 59% of the 2236 salaried AI/ML roles we track (median $180,000). See AI/ML salary trends
Quick facts
- Is the Platform Engineer role remote?
- It's hybrid — Eve expects some on-site time in San Francisco (Hybrid); San Mateo, CA (Hybrid).
- What's the salary range?
- Eve lists $195,000–$350,000 for this role.
- Where is the role based?
- Eve is hiring for this position in San Francisco (Hybrid); San Mateo, CA (Hybrid).
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Data Pipelines, cloud technologies.
- What seniority level is this role?
- Eve targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Platform Engineer role at Eve.
From the original posting
About Eve
Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast.
Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.
Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.
AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
Explosive growth: We are growing 2X revenue Quarter over Quarter.
What You'll Do:
- Design and Implement Scalable Infrastructure: Build reliable, scalable infrastructure to support AI/ML applications, ensuring seamless operation of our core products.
- Develop Efficient Data Pipelines: Create and manage data pipelines capable of handling complex machine learning workflows, facilitating efficient data processing and analysis.
- Optimize System Performance: Enhance the performance of machine learning systems, managing resources effectively to support large-scale operations.
- Collaborate Across Teams: Work closely with machine learning and development teams to address novel infrastructure challenges, fostering a cohesive and innovative engineering environment.
- Enhance Developer Productivity: Develop platforms and tools that improve developer efficiency, contributing to a more productive engineering workflow.
What We're Looking For:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Experience in Scalable Infrastructure: Proven experience building reliable, scalable infrastructure for AI/ML applications.
- Proficiency in Cloud Technologies: Strong understanding of modern cloud infrastructure, with a focus on reliability and scalability.
- Data Pipeline Expertise: Experience designing and managing data pipelines for complex machine learning workflows.
- Performance Optimization Skills: Ability to optimize system performance and manage resources effectively at scale.
- Comfort collaborating with cross-functional teams to solve unique infrastructure challenges.
Benefits
💰 Competitive Salary & Equity
💹 401(k) Program with Employer Matching
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚗 Commuter Benefits*
🧑💻 Autonomous Work Environment
🖥️ Workplace Setup Reimbursement
🏠 Telecomm Stipend
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks*
Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.
We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.