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Software Engineer

Cambridge, MA, US • Posted 1 day ago • Updated 1 day ago

Contract Corp To Corp

Contract W2

3 Weeks

On-site

$90 - $93/hr

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

RESEARCHER
RESEARCH
ENGINEER
AI ENGINEER
MACHINE LEARNING ENGINEER
ML ENGINEER
SOFTWARE ENGINEER AI
DEVELOPER
CONSULTANT
MULTIMODAL
IMAGE DATA
VIDEO DATA
AUDIO DATA
TEXT DATA
LLM
MLLM
PYTORCH
HUGGING FACE
TENSORFLOW
DEEP LEARNING
REACT
TYPESCRIPT
PIPELINE
PIPELINES
DATA ENGINEERING

Summary

Payrate: $90.00 - $93.00/hr.

Summary:
Company is seeking a strong AI Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.

You’ll ship high-fidelity reproducible breakthroughs and bridge frontier research into Company''s product ecosystem to impact billions. You''ll collaborate within an interdisciplinary group of scientists and engineers, leveraging world-class compute, data resources, and research facilities.

Responsibilities:

Design human and model-based datasets for training and evaluating MLLMs (image/video/audio/text data).
Run frontier model evaluations and implement common metrics.
Use MLLMs to bootstrap, augment, and rebalance datasets.
Fine-tune models on labeled datasets.
Ship annotation task UIs and data-heavy internal tools (React/TypeScript)
Run secure ingestion pipelines from warehouse/warm-storage/flat files at scale.

Must-Have Skills:

ML/AI fundamentals - fine-tuning (SFT/preference), prompting, model-based eval, and the failure modes of each.
At least one year of hands-on work in the field. Multimodal dataset experience - building image/video/audio/text datasets to train or evaluate models.
Strong Python + ML tooling - PyTorch (or equivalent), HF ecosystem, comfort running training/sampling jobs on real infra.
Web/UI engineering - production React/TypeScript; design, vibe code and ship clean, usable interfaces for annotation and internal tools.
Data pipelines - SQL plus reliable large-scale data movement: batching, idempotent dedupe, parallelism, retries.
Experience in mid sized tech, preference for (Google, Apple, Meta, or other FAANG)

Education / Experience:

Academic background in Computer Science, Engineering, or a related quantitative discipline.

5-10+ years of hands-on experience in building multimodal datasets, implementing machine learning evaluations, and developing production-level data and annotation tools

Pay Transparency: The typical base pay for this role across the U.S. is: $90.00 - $93.00 /hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded.

Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to :messages or by contacting .

For information about our collection, use, and disclosure of applicant''s personal information as well as applicants'' rights over their personal information, please see our

#AditiConsulting
#25-03756

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111892
Position Id: 26-03756
Posted 1 day ago

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