Lead Machine Learning Engineer, Smarsh
Cloud-based archiving and compliance solutions
Job no longer available
Cloud-based archiving and compliance solutions
1001+ employees
Job no longer available
1001+ employees
Company mission
To enable customers to take advantage of the latest communication and collaboration tools, while staying ahead of compliance risk.
Role
Who you are
- Proficiency with JVM language (Java/Kotlin) and experience in Python
- Experience in NLP, ML-Ops and data pipelines
- Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn
- Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies
- Experience with Data processing, feature engineering and model evaluation techniques
- Experience in cloud platforms like Amazon Web Services & Google Cloud
- Experience with Amazon SageMaker and Jupyter Notebooks
- Experience with Model Servers such as Triton Inference server
- Experience working in AI/ML based Analytics products for Fintech/Regtech domain
- Experience in microservices & event-driven architecture
- Exposure and experience in building ML applications/services with cloud scalability
- Experience in Kafka and RDBMS such as MySQL & Postgres
- Proficient in containerized platforms like Docker, Helm & Kubernetes
- Experience in CI/CD tools like Bamboo, Argo CD
- Experience in Prometheus & Grafana
- Proficient in API design
- Proficient in working with distributed systems
Desirable
- Strong understanding and experience in continuous software delivery
- Strong understanding of ML business and technology domain
- Expert programming skills in relevant languages
- Deep understanding and experience in software architecture/software engineering
What the job involves
- As a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence
- This will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio
- You will be part of a cross-functional agile team of talented ML engineers collaborating closely with product managers, data scientists and other stakeholders to deliver high quality, secure and resilient SaaS products
- The Machine Learning Engineering function is responsible for ensuring Smarsh can run state-of-the-art enterprise-grade machine learning at scale in a cost-effective manner
- The Machine Learning Engineering Group develops and maintains the ML infrastructure, tooling, and analytic services to power intelligent applications
- Collaborate with cross-functional teams to design complex solutions and integrate multiple software products to solve high-level challenges
- Act as a subject-matter expert in machine learning, fintech, and Regtech domains, providing technical leadership, insights, and guidance to internal teams and external stakeholders
- Can weigh the pros and cons of various solutions and propose the best path
- Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment with careful attention to quality, scalability, and maintainability
- Can break down complex technical solutions into simple abstractions
- Influence Principal Engineers/Product Managers on product designs
- Can investigate and solve complex bugs, performance, security, and scalability issues
- Actively participate in troubleshooting and fixing Production Issues following the incident management process
- Recognize issue patterns and implement proactive measures to address the root causes
- Manage task lifecycle using tools like JIRA
- Participate in internal & external code reviews, provide and receive feedback for continuous improvement
- Influence, Establish and Sustain Best Practices
- Mentor and coach team members
- Actively participate in team agile ceremonies and provide valuable inputs
- Other duties as assigned
Salary benchmarks
Our take
The emergence of new digital communication technologies provides businesses with a great opportunity for growth. But regulated businesses need to ensure they carry out communications monitoring, archiving, and compliance to stay on the right side of regulators. This can be difficult to do with new tech - to the extent that some businesses are hesitant to adopt it at all.
Of course, there’s a substantial appetite for ways to get around this obstacle and therefore reap the business benefits of modern comms. Smarsh provides just that, with its suite of archive, storage, and monitoring tools. In the two decades since its founding, the platform has netted over 6,500 clients including top worldwide banks, brokerage firms, insurers, registered investment advisors, and state and local government agencies in the US.
This puts Smarsh in a formidable position going forward. The issue the company addresses is only getting more acute as the volume of communications increases, more tech is brought to market, and the hybrid work model pushes more communications online. Smarsh’s extensive, top-tier global reach will help it field this growing market opportunity.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-9% employee growth in 12 months
Company
Funding (2 rounds)
May 2015
$28m
LATE VC
Sep 2007
$15.6m
LATE VC
Total funding: $43.6m
Company benefits
- Healthcare insurance: We provide medical, dental and vision insurance and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses
- Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a "take-what-you-need" time off policy as well as flexible work arrangements
- Recognition: We're big on kudos for a job well done. Our employee recognition program enables co-workers to nominate their peers who best embody our core values for recognition
- Life and disability insurance: Fully paid life and disability insurance coverage is provided from the day you start your job
- Wellness program: You're happier when you're healthier. So we reimburse a portion of employees' monthly health club expenses
- Retirement savings: We match a percentage of your retirement savings contributions. Smarsh employer match invests immediately, so it's yours from day one
- Sabbatical: The Smarsh sabbatical program provides a time to recharge, study or simply a time to do something you are passionate about away from the workplace. Employees are eligible after six years of service
- Giving back: Through our community partnership program, Full Circle, employees make a positive difference and receive paid time off for Full Circle activities so they can support the organizations that matter most to them
- Employee assistance program: We offer free and confidential assessments, short-term counseling, referrals and follow-up services to employees for personal or work-related issues to support their mental and emotional well-being
- Cellphones: To support our mobile and geographically dispersed workforce, we offer corporate cellular plan discounts with both AT&T and T-Mobile
- Getting here and home: Biking and taking public transit to work is not only cool but a smart and green thing to do. Smarsh proudly reimburses for monthly transit costs and biking expenses
- Parental leave: We want to support our colleagues who are starting a family. Smarsh offers paid leave to help you welcome your new bundle(s) of joy into the world
Company HQ
Portland Downtown, Portland, OR
Leadership
Stephen Marsh
(Founder & Chairman)Previously worked on capital market systems at Fidelity Investments, and then moved to a Senior Product Manager role at CCBN. They are also a board member at The Wild, Asset Compliance Inc., and ComplySci.
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