The role involves developing features for a product, managing codebase areas, interacting with customers, and taking on challenging projects.
What You'll Be Responsible For
Compensation
- Develop new features for our early product, working across large scale data pipelines and web application development
- Have end to end ownership over significant features and areas of the codebase
- Work directly with our customers to understand and address feature gaps in our product
- Take on long-duration, technically challenging projects to build new capabilities into our product
- 2+ years of experience as a generalist software engineer that is flexible working across the stack
- CS / computer engineering degree (or equivalent)
- Excited to work in a startup environment, including shipping quickly to address customer feedback
- Previous experience at high growth startups
- Full stack experience, ideally with React and Python
- Experience working with LLMs, particularly with LLM evals
- Experience training and fine-tuning deep learning models / LLMs
- Demonstrated interest in the life sciences
The base pay range for this role is $180,000 – $300,000 per year.
Similar Jobs
Software
Provides Tier 1 and Tier 2 technical support in a primarily Mac-based environment. Responsibilities include troubleshooting hardware, software, networks, and SaaS applications; configuring laptops, printers, and peripherals; provisioning accounts and access; supporting meetings and events; maintaining hardware inventory; managing JSM tickets; training users; and participating in global emergency on-call coverage.
Top Skills:
Apple Mac HardwareBashGoogle MeetGoogle WorkspaceJamf ProJavaScriptJira Service Management (Jsm)macOSMoveworksNetworkingOktaPythonSlack
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Drive new-logo growth by prospecting, cold calling, and closing enterprise SaaS and cloud solution sales to independent insurance agencies. Build consultative business plans with Solution Consultants, follow up on qualified leads, identify new opportunities, represent the company at industry events, and maintain customer relationships to generate referrals. The role is remote from Sacramento with up to 50% territory travel.
Top Skills:
AICloud SoftwareCRMSaaSSalesforce
An Hour Ago
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Analyzes autonomous-vehicle telemetry, time-series signals, incidents, software releases, and operational data to investigate safety issues and root causes. Integrates diverse data sources into analysis-ready datasets, validates data quality, applies engineering and signal-processing methods, and delivers rigorous findings for safety assurance and operational decisions. The role also develops reusable detection methods, metrics, pipelines, and analytical tooling while collaborating across engineering, operations, safety, human factors, and data teams.
Top Skills:
BigQueryC++Ci/CdCloud Data PlatformsDistributed ProcessingDockerGitKubernetesPythonRobot Operating System (Ros)Signal ProcessingSQLTime-Series Analysis
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

.png)

