Mozilla · 1 day ago
Staff Machine Learning Engineer, Fakespot
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Responsibilities
Apply statistical and machine learning techniques to process and analyze unstructured textual data
Develop and finetune machine learning models for tasks such as entity recognition, classification, and text generation
Utilize pretrained language models (e.g. GPT, LLAMA) and adapt them for specific use cases
Optimize the models for production usage, including considerations for scalability, latency, and resource
Monitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessary
Work closely with interdisciplinary teams to deliver high-quality features and solutions
Stay current with advancements in NLP research, methodologies, and best practices
Be consistently productive and operate with a high degree of autonomy
Qualification
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Required
A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience
A minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientist
Knowledge of and expertise in Natural Language Processing (NLP)
Proficiency in a data query language (e.g. SQL), and a programming language (e.g. Python)
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
Being an excellent team player with a proven ability to work effectively in cross-functional teams, showing a high degree of collaboration, flexibility, and respect for diverse perspectives
An ability to be self-directed after work is assigned and help less experienced team members to get unblocked
Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit
Preferred
An advanced degree (master or PhD) in a quantitative field
A deep understanding of deep learning, reinforcement learning, and natural language processing
Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with related machine learning services
Experience with big data technologies like Hadoop, Spark, or similar
Demonstrated prior experience with large language models, and generative AI
Enthusiasm in bringing trust to the e-commerce platforms and beyond
Benefits
Generous performance-based bonus plans to all regular employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program
Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
Company
Mozilla
Mozilla provides internet solutions and offers firefox, thunderbird, and raindrop.
H1B Sponsorship
Mozilla has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (4)
2021 (3)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$2.3MKey Investors
AOL
2005-01-01Angel· $0.3M
2003-07-15Series Unknown· $2M
Leadership Team
Recent News
2024-11-11
2024-11-11
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