Research Engineer, Smarsh

$130-145k

AWS
Docker
Kubernetes
Python
Linux
Tensorflow
Azure
NumPy
Pandas
Scikit-Learn
NLTK
SpaCy
PyTorch
Keras
Git
Unix
Junior and Mid level
Remote in US
Smarsh

Cloud-based archiving and compliance solutions

Be an early applicant

Smarsh

Cloud-based archiving and compliance solutions

1001+ employees

B2BEnterpriseComplianceLegalCommunicationSaaSCyber Security

Be an early applicant

$130-145k

AWS
Docker
Kubernetes
Python
Linux
Tensorflow
Azure
NumPy
Pandas
Scikit-Learn
NLTK
SpaCy
PyTorch
Keras
Git
Unix
Junior and Mid level
Remote in US

1001+ employees

B2BEnterpriseComplianceLegalCommunicationSaaSCyber Security

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

  • The ideal candidate will be someone who’s passionate about exploring new technologies, navigating complex and impactful problems, and building high-performance research infrastructures
  • The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights across multimodal data sets with a hands-on/can do attitude
  • Required Education and Experience:
  • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field with research emphasis
  • 1+ year research experience working with data & analytics (including school)
  • Experience working with Python
  • Familiarity with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, lightning, Nvidia NeMo
  • Experience using Git, Linux/Unix, an IDEs

Desirable

  • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • 1+ year experience working with NLP, text analytics/classification, audio analytics
  • Knowledge of transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, and GPT-x etc.)
  • Experience in using various Large Language Models (LLM)
  • Experience with natural language processing toolkits like NLTK, spaCy
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Cloud computing (AWS, GCS, Azure)

What the job involves

  • As a Research Engineer at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers
  • The Research Engineer is responsible for the development and evaluation of new research ideas including development, support, and improvement of existing capabilities
  • Smarsh is looking for Research Engineers to help shape the frontiers of multimodal communications research
  • We are seeking candidates who will excel in fast-paced environments and deliver results with precision and finesse
  • The role will involve working with the Research Engineering team, collaborate with the Data Science team, and align with the Product Managers in analyzing complex communications data, generating insights, and creating solutions as needed across a variety of tools and platforms
  • The role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more
  • Data annotation and quality review
  • Exploratory data analysis and model fail state analysis
  • Attend and actively participate in planning, stand-ups, retros, and other team meetings and discussions
  • Contribute to Research discussions
  • Time Allotment:
  • 70% Machine Learning model development and evaluation
  • 20% interaction with stakeholders to understand modeling needs
  • 10% Machine Learning model support

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 headshot

Freddie

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

-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 values

  • We lead with excellence
  • We own the outcome
  • We act as one Smarsh

Company HQ

Portland Downtown, Portland, OR

Leadership

Stephen Marsh

(Founder)

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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