Design, implement, and own end-to-end scalable ML systems and MLOps lifecycle (deployment, monitoring, metrics). Optimize models and system performance, work with Java/Python and TF/PyTorch, use CI/CD, Terraform, Docker/Kubernetes, lead inter-team communication, document work, and meet deadlines.
Greetings Everyone
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
Must Have - Tech Skills:
1. Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months).
2. Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle:
a. Evaluation Techniques.
b. Machine Learning Algorithms.
c. Statistical Modeling.
d. End to end deployment.
e. Metric generation.
f. Model monitoring and deployment.
g. Prompt Engineering,
3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc.
4. Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective.
5. Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in:
a. Java
i. library/dependency management
ii. Package and distribution management
iii. Algorithms
b. Python
c. Tensorflow / PyTorch
6. Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
7. Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
2. Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle:
a. Evaluation Techniques.
b. Machine Learning Algorithms.
c. Statistical Modeling.
d. End to end deployment.
e. Metric generation.
f. Model monitoring and deployment.
g. Prompt Engineering,
3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc.
4. Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective.
5. Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in:
a. Java
i. library/dependency management
ii. Package and distribution management
iii. Algorithms
b. Python
c. Tensorflow / PyTorch
6. Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
7. Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
Must Have - Soft Skills:
1. Good Team worker & good collaborations skills.
2. Ability to abstract out details, define problem & have clear technical communication.
3. Ability to lead inter team communication.
4. Ability to write crisp and effective documentation.
5. Ensures that deadlines are met.
2. Ability to abstract out details, define problem & have clear technical communication.
3. Ability to lead inter team communication.
4. Ability to write crisp and effective documentation.
5. Ensures that deadlines are met.
Good To Have - Tech Skills:
1. GCP ML Tech stack.
2. Experienced with Infrastructure as Code (IaC).
3. Experience with big data technologies such as Apache Spark or Hadoop.
4. Stay informed about the ethical implications of machine learning eg: selection bias.
5. Model Training
2. Experienced with Infrastructure as Code (IaC).
3. Experience with big data technologies such as Apache Spark or Hadoop.
4. Stay informed about the ethical implications of machine learning eg: selection bias.
5. Model Training
6. Data Analytics - figure out anomalies , skew , discrepancies
7. Hands on with developing on device ML System.
7. Hands on with developing on device ML System.
Good To Have - Soft Skills:
1. Mentoring and Leadership.
2. Project Management.
Compensation, Benefits and Duration
Minimum Compensation: USD 51,000
Maximum Compensation: USD 178,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Agency • Artificial Intelligence • Consumer Web • Digital Media • Analytics • Design
Manage end-to-end paid media campaigns across multiple clients and channels, including strategy, setup, optimization, tracking, and reporting. Analyze performance data, maintain tracking (GA4/Tag Manager), build reports and dashboards, and present insights to clients. Collaborate with account, creative, and analytics teams to drive growth and improve ROI while staying current on platform best practices.
Top Skills:
Conversions ApiFacebook/Meta AdsGoogle AdsGoogle Analytics (Ga4)Google Looker StudioGoogle SheetsGoogle Tag ManagerLinkedin AdsMicrosoft/Bing AdsPerformance MaxPinterest AdsProgrammatic AdvertisingReddit AdsTwitter/X AdsYoutube Ads
.png)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The GRAIL Galleri Consultant will drive territory growth by engaging healthcare providers, executing the sales strategy for the Galleri product, and managing customer relationships.
Top Skills:
Google Suite
eCommerce • Fashion • Retail • Sales • Wearables • Design
Lead daily store operations to drive sales, profitability, and exceptional customer service. Recruit, coach, and develop a high-performing team; manage inventory, payroll, loss prevention, visual merchandising, scheduling, and local business plans. Serve as brand ambassador and ensure inclusive, results-driven store culture.
Top Skills:
Inventory Management SystemsLabor Management SystemsMS OfficeSales Reporting ToolsSocial Media
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
