Senior Machine Learning Architect, deepwatch
$160-200k
+ Stock Options. Salary applicable to candidates based in NYC, CO, CA, RI, and WA
Managed cyber security solutions
Job no longer available
Managed cyber security solutions
201-500 employees
Job no longer available
$160-200k
+ Stock Options. Salary applicable to candidates based in NYC, CO, CA, RI, and WA
201-500 employees
Company mission
To serve its customers and protect their networks, everywhere, every day.
Role
Who you are
- 8+ years of design, implementation, or consulting in applications and infrastructures experience
- Bachelor’s degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Experience communicating across technical and non-technical audiences, including executive level stakeholders
- Experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
Desirable
- Working knowledge of AI, ML, and/or GenAI and hands on experience in deploying and hosting Large Foundational Models
- Masters degree or PhD degree in Computer Science, or related technical, math, or scientific field
- Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet
- Expertise deploying solutions on AWS
What the job involves
- The successful candidate will collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges.
- They will work across teams and projects to understand the needs and adoption patterns, interact with end users directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide teams on adoption patterns and paths for AI and ML.
- You will create and deliver best practice recommendations, tutorials, sample code, and presentations adapted to technical, business, and executive stakeholders.
- You will provide end-user and market feedback to Product and Engineering teams to help define product direction.
- You will work with a diverse team of Architects, ML Scientists, and Strategists to help and guide end-users in their journey to adopt generative AI
- Ideate. Work with cyber security experts and data scientists to help determine the right approach to deploying AI, ML, and Generative AI solutions at scale
- Innovate. Work with large, complex AI & ML based solutions that meet of exceed customer expectations
- Production. Help drive scalable solutions across the multitude of customers
- Interact. Work with Deepwatch’s largest clients to assess business and operational needs
- Problem Solve. Provide alternate approaches and architectures to solve complex problems, assessing the pros and cons of each solution
- Represent the Deepwatch brand and company to customers, prospects, and vendors
Our take
With increased digital transformation and cloud adoption, businesses have ever-more complex systems to protect, making it harder to ensure everything remains cybersecure. Deepwatch supplies Managed Detection and Response (MDR) solutions, combining its technology and expertise to optimize protections for its clients, mitigate risk, and improve security outcomes.
Grasping the need for greater security for digital platforms, applications, and data, Deepwatch has built a cloud SecOps platform, upon which its services run. Its managed services are tailored to the requirements of each individual client, and involve a team of security experts collaborating with the business to gain an in-depth knowledge of their security requirements and specific areas of risk to target.
Competition for Deepwatch comes from companies such as Paladion, Crypsis, and ExtraHop. However, the demand for managed cybersecurity solutions is growing and - given there is a general cybersecurity skills shortage - security management companies like Deepwatch are becoming increasingly necessary. Funding raised by the company will allow it to grow to meet this demand, by accelerating innovation and development, and expanding its partner ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2023
$180m
LATE VC
Oct 2020
$53m
SERIES B
Total funding: $256m
Company benefits
- Insurance plan options, including 100% employer premium contributions and HSA contributions for certain coverage
- Employer paid Life Insurance, Short-term and Long-term Disability, and Employee Assistance Program
- Supplemental coverage options
- Holistic employee Wellness program
- Flexible Time Off
- Paid Parental Leave
- Stock Options
- 401k with company match
- $200 Monthly reimbursement for Cell/Internet
- Annual recognition awards
- Spot bonus awards
- Employee and Customer Referral Bonus Programs
- Annual credit to Deepwatch Swag Store
- Professional Development Allowance: $3,000 in your first year and $6,000 annually thereafter
- Formal Leadership Development Program
- Employee-driven, company-wide Mentoring Program
- Paid time off for volunteering and voting
- Support for company-wide initiatives, such as Stem for Her and local initiatives like Feeding Tampa Bay
- Sponsored Employee Affinity Groups, including Women of Deepwatch, BIPOC, and DW Veterans
- Annual Company Kick Off Event, Monthly All Hands calls, cross functional initiatives, social events, interactive wellness programs, and department offsite meetings
- Peer Recognition Program (Radical Performer)
Company HQ
Carver City-Lincoln Gardens, Tampa, FL
Leadership
Charlie Thomas
(Founder & Chair)A serial entrepreneur, Charlie has led and grown four different startups to market values from $25 million to over $1 Billion with four exits and an IPO.
John DiLullo
(CEO)Board Member at D-Wave and Board Advisor at Tetrate. Was previoulsy CEO at LiveVox and Lastline.
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