Senior Software Engineer, AdeptID
$125-190k
+ Equity
3 days a week in office (Seaport, Boston)
Talent matching engine
Be an early applicant
Talent matching engine
1-20 employees
Be an early applicant
$125-190k
+ Equity
3 days a week in office (Seaport, Boston)
1-20 employees
Company mission
AdeptID’s mission is to make job mobility easier for all people, regardless of educational attainment.
Role
Who you are
- 6+ years in software development, ideally with experience in building medium+ scale data systems
- Expert in Python API development, or the ability to rapidly become fluent. Solid CS and engineering fundamentals
- Excitement and interest in the mission of our team
- Strong communication skills
What the job involves
- Build cloud infrastructure for data operations and ML model deployment
- Create resilient sub-systems supporting operational monitoring and reporting
- Design architectures that will help our product scale with our business and move flexibly as our strategy changes
- Mentor and grow with fellow engineers
- Build distributed pipelines processing 300M+ annual job placements across multiple regions
- Design and build high-performance infrastructure for managing our ML models
- Create real-time monitoring and alerting systems for AI model performance and data quality
- Modernize our legacy architecture to simplify multi-region deployments
- Stack: Python, Flask/FastAPI, Docker, Postgres, DocDB, and OpenSearch in AWS
- Scale: 100M job placements and applications last year, expanding by 3-5 X this year across multiple international geographic regions
- Team: 6-person engineering team reporting to the Head of Engineering
- Development practices: CI/CD with GitHub Actions, infrastructure-as-code using AWS CDK, extensive test coverage (that we want to increase)
- Data security and privacy are foundational to our products
- We're a collaborative team that values technical excellence, experimentation, and sharing
- We work in the office on MWF to maximize our time together. We're located adjacent to Seaport and convenient to the North and South Stations
- Reports to: Head of engineering, consults with Technical Lead
- Our product and team are small enough that individuals can have an outsized impact
- Take independent ownership of technical projects
- Key interfaces: Collaborate with leadership on technical strategy and customer engineering teams on implementation
Our take
Talent identification and acquisition has always been a challenge for HR teams, but the labor shortage is making it more difficult than ever. The founders of AdeptID believe that poor talent matching is a billion-dollar problem, and they’re aiming to address it with its machine-learning-powered API.
While there’s no shortage of talent search and matching platforms, from LinkedIn to Zoho Recruit, AdeptID sets itself apart by providing an API which plugs into existing infrastructure. Another interesting aspect of AdeptID’s approach is how its ML tech focuses on lesser-explored talent avenues, particularly candidates who don’t hold degrees and might otherwise be filtered out in other talent searches.
AdeptID is still in its early stages, having launched in 2020, but its bootstrapped first year brought in an encouraging $1 million. Backed by Zeal Capital Partners, the company has been scaling operations in the last couple of years. It is also a certified B-corp, and in 2023 partnered with OneTen to improve hiring outcomes for black talent in the US.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Dec 2021
$3.5m
SEED
Total funding: $3.5m
Company benefits
- Opportunity to join an exciting venture in its early stage
Company values
- Inclusivity
- Collaboration
- Transparency
Company HQ
Financial District, Boston, MA
Articles
Leadership
Was commercial lead and founding team member at satellite analytics company TellusLabs (acquired by Indigo). Became Indigo's Director of International Strategy post acquisition. Also worked in Business Development at adaptive learning company Knewton.
Brian DeAngelis
(Chief Data Scientist)Served as a Data Scientist at Indigo before co-founding AdeptID. Previously worked as an Analyst at Opera Solutions, specializing in Machine Learning and Data Science. Co-founded the Hopewell Hockey Company in 2016.
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